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MIT Introduction to Deep Learning (6.S191) Instructors: Alexander Amini and Ava Soleimany Course Information Summary Prerequisites Schedule Lectures Labs, Final Projects, Grading, and Prizes Software labs Gather.Town lab + Office Hour sessions Final project Paper Review Project Proposal Presentation Project Proposal Grading Rubric Past Project Proposal Ideas Awards + Categories Important Links and Emails Course Information Summary MIT's introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow. Course concludes with a project proposal competition with feedback from staff and a panel of industry sponsors. Prerequisites We expect basic knowledge of calculus (e.g., taking derivatives), linear algebra (e.g., matrix multiplication), and probability (e.g., Bayes theorem) -- we'll try to explain everything else along the way! Experience in Python is helpful but not necessary. This class is taught during MIT's IAP term by current MIT PhD researchers. Listeners are welcome! Schedule Monday Jan 18, 2021 Lecture: Introduction to Deep Learning and NNs Lab: Lab 1A Tensorflow and building NNs from scratch Tuesday Jan 19, 2021 Lecture: Deep Sequence Modelling Lab: Lab 1B Music Generation using RNNs Wednesday Jan 20, 2021 Lecture: Deep Computer Vision Lab: Lab 2A Image classification and detection Thursday Jan 21, 2021 Lecture: Deep Generative Modelling Lab: Lab 2B Debiasing facial recognition systems Friday Jan 22, 2021 Lecture: Deep Reinforcement Learning Lab: Lab 3 pixel-to-control planning Monday Jan 25, 2021 Lecture: Limitations and New Frontiers Lab: Lab 3 continued Tuesday Jan 26, 2021 Lecture (part 1): Evidential Deep Learning Lecture (part 2): Bias and Fairness Lab: Work on final assignments Lab competition entries due at 11:59pm ET on Canvas! Lab 1, Lab 2, and Lab 3 Wednesday Jan 27, 2021 Lecture (part 1): Nigel Duffy, Ernst & Young Lecture (part 2): Kate Saenko, Boston University and MIT-IBM Watson AI Lab Lab: Work on final assignments Assignments due: Sign up for Final Project Competition Thursday Jan 28, 2021 Lecture (part 1): Sanja Fidler, U. Toronto, Vector Institute, and NVIDIA Lecture (part 2): Katherine Chou, Google Lab: Work on final assignments Assignments due: 1 page paper review (if applicable) Friday Jan 29, 2021 Lecture: Student project pitch competition Lab: Awards ceremony and prize giveaway Assignments due: Project proposals (if applicable) Lectures Lectures will be held starting at 1:00pm ET from Jan 18 - Jan 29 2021, Monday through Friday, virtually through Zoom. Current MIT students, faculty, postdocs, researchers, staff, etc. will be able to access the lectures during this two week period, synchronously or asynchronously, via the MIT Canvas course webpage (MIT internal only). Lecture recordings will be uploaded to the Canvas as soon as possible; students are not required to attend any lectures synchronously. Please see the Canvas for details on Zoom links. The public edition of the course will only be made available after completion of the MIT course. Labs, Final Projects, Grading, and Prizes Course will be graded during MIT IAP for 6 units under P/D/F grading. Receiving a passing grade requires completion of each software lab project (through honor code, with submission required to enter lab competitions), a final project proposal/presentation or written review of a deep learning paper (submission required), and attendance/lecture viewing (through honor code). Submission of a written report or presentation of a project proposal will ensure a passing grade. MIT students will be eligible for prizes and awards as part of the class competitions. There will be two parts to the competitions: (1) software labs and (2) final projects. More information is provided below. Winners will be announced on the last day of class, with thousands of dollars of prizes being given away! Software labs There are three TensorFlow software lab exercises for the course, designed as iPython notebooks hosted in Google Colab. Software labs can be found on GitHub: https://github.com/aamini/introtodeeplearning. These are self-paced exercises and are designed to help you gain practical experience implementing neural networks in TensorFlow. For registered MIT students, submission of lab materials is not necessary to get credit for the course or to pass the course. At the end of each software lab there will be task-associated materials to submit (along with instructions) for entry into the competitions, open to MIT students and affiliates during the IAP offering. This includes MIT students/affiliates who are taking the class as listeners -- you are eligible! These instructions are provided at the end of each of the labs. Completing these tasks and submitting your materials to Canvas will enter you into a per-lab competition. MIT students and affiliates will be eligible for prizes during the IAP offering; at the end of the course, prize-winners will be awarded with their prizes. All competition submissions are due on January 26 at 11:59pm ET to Canvas. For the software lab competitions, submissions will be judged on the basis of the following criteria: Strength and quality of final results (lab dependent) Soundness of implementation and approach Thoroughness and quality of provided descriptions and figures Gather.Town lab + Office Hour sessions After each day’s lecture, there will be open Office Hours in the class GatherTown, up until 3pm ET. An MIT email is required to log in and join the GatherTown. During these sessions, there will not be a walk through or dictation of the labs; the labs are designed to be self-paced and to be worked on on your own time. The GatherTown sessions will be hosted by course staff and are held so you can: Ask questions on course lectures, labs, logistics, project, or anything else; Work on the labs in the presence of classmates/TAs/instructors; Meet classmates to find groups for the final project; Group work time for the final project; Bring the class community together. Final project To satisfy the final project requirement for this course, students will have two options: (1) write a 1 page paper review (single-spaced) on a recent deep learning paper of your choice or (2) participate and present in the project proposal pitch competition. The 1 page paper review option is straightforward, we propose some papers within this document to help you get started, and you can satisfy a passing grade with this option -- you will not be eligible for the grand prizes. On the other hand, participation in the project proposal pitch competition will equivalently satisfy your course requirements but additionally make you eligible for the grand prizes. See the section below for more details and requirements for each of these options. Paper Review Students may satisfy the final project requirement by reading and reviewing a recent deep learning paper of their choosing. In the written review, students should provide both: 1) a description of the problem, technical approach, and results of the paper; 2) critical analysis and exposition of the limitations of the work and opportunities for future work. Reviews should be submitted on Canvas by Thursday Jan 28, 2021, 11:59:59pm Eastern Time (ET). Just a few paper options to consider... https://papers.nips.cc/paper/2017/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf https://papers.nips.cc/paper/2018/file/69386f6bb1dfed68692a24c8686939b9-Paper.pdf https://papers.nips.cc/paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf https://science.sciencemag.org/content/362/6419/1140 https://papers.nips.cc/paper/2018/file/0e64a7b00c83e3d22ce6b3acf2c582b6-Paper.pdf https://arxiv.org/pdf/1906.11829.pdf https://www.nature.com/articles/s42256-020-00237-3 https://pubmed.ncbi.nlm.nih.gov/32084340/ Project Proposal Presentation Keyword: proposal This is a 2 week course so we do not require results or working implementations! However, to win the top prizes, nice, clear results and implementations will demonstrate feasibility of your proposal which is something we look for! Logistics -- please read! You must sign up to present before 11:59:59pm Eastern Time (ET) on Wednesday Jan 27, 2021 Slides must be in a Google Slide before 11:59:59pm Eastern Time (ET) on Thursday Jan 28, 2021 Project groups can be between 1 and 5 people Listeners welcome To be eligible for a prize you must have at least 1 registered MIT student in your group Each participant will only be allowed to be in one group and present one project pitch Synchronous attendance on 1/29/21 is required to make the project pitch! 3 min presentation on your idea (we will be very strict with the time limits) Prizes! (see below) Sign up to Present here: by 11:59pm ET on Wednesday Jan 27 Once you sign up, make your slide in the following Google Slides; submit by midnight on Thursday Jan 28. Please specify the project group # on your slides!!! Things to Consider This doesn’t have to be a new deep learning method. It can just be an interesting application that you apply some existing deep learning method to. What problem are you solving? Are there use cases/applications? Why do you think deep learning methods might be suited to this task? How have people done it before? Is it a new task? If so, what are similar tasks that people have worked on? In what aspects have they succeeded or failed? What is your method of solving this problem? What type of model + architecture would you use? Why? What is the data for this task? Do you need to make a dataset or is there one publicly available? What are the characteristics of the data? Is it sparse, messy, imbalanced? How would you deal with that? Project Proposal Grading Rubric Project proposals will be evaluated by a panel of judges on the basis of the following three criteria: 1) novelty and impact; 2) technical soundness, feasibility, and organization, including quality of any presented results; 3) clarity and presentation. Each judge will award a score from 1 (lowest) to 5 (highest) for each of the criteria; the average score from each judge across these criteria will then be averaged with that of the other judges to provide the final score. The proposals with the highest final scores will be selected for prizes. Here are the guidelines for the criteria: Novelty and impact: encompasses the potential impact of the project idea, its novelty with respect to existing approaches. Why does the proposed work matter? What problem(s) does it solve? Why are these problems important? Technical soundness, feasibility, and organization: encompasses all technical aspects of the proposal. Do the proposed methodology and architecture make sense? Is the architecture the best suited for the proposed problem? Is deep learning the best approach for the problem? How realistic is it to implement the idea? Was there any implementation of the method? If results and data are presented, we will evaluate the strength of the results/data. Clarity and presentation: encompasses the delivery and quality of the presentation itself. Is the talk well organized? Are the slides aesthetically compelling? Is there a clear, well-delivered narrative? Are the problem and proposed method clearly presented? Past Project Proposal Ideas Recipe Generation with RNNs Can we compress videos with CNN + RNN? Music Generation with RNNs Style Transfer Applied to X GAN’s on a new modality Summarizing text/news articles Combining news articles about similar events Code or spec generation Multimodal speech → handwriting Generate handwriting based on keywords (i.e. cursive, slanted, neat) Predicting stock market trends Show language learners articles or videos at their level Transfer of writing style Chemical Synthesis with Recurrent Neural networks Transfer learning to learn something in a domain for which it’s hard or risky to gather data or do training RNNs to model some type of time series data Computer vision to coach sports players Computer vision system for safety brakes or warnings Use IBM Watson API to get the sentiment of your Facebook newsfeed Deep learning webcam to give wifi-access to friends or improve video chat in some way Domain-specific chatbot to help you perform a specific task Detect whether a signature is fraudulent Awards + Categories Final Project Awards: 1x NVIDIA RTX 3080 4x Google Home Max 3x Display Monitors Software Lab Awards: Bose headphones (Lab 1) Display monitor (Lab 2) Bebop drone (Lab 3) Important Links and Emails Course website: http://introtodeeplearning.com Course staff: introtodeeplearning-staff@mit.edu Piazza forum (MIT only): https://piazza.com/mit/spring2021/6s191 Canvas (MIT only): https://canvas.mit.edu/courses/8291 Software lab repository: https://github.com/aamini/introtodeeplearning Lab/office hour sessions (MIT only): https://gather.town/app/56toTnlBrsKCyFgj/MITDeepLearning
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W3C Strategic Highlights September 2019 This report was prepared for the September 2019 W3C Advisory Committee Meeting (W3C Member link). See the accompanying W3C Fact Sheet — September 2019. For the previous edition, see the April 2019 W3C Strategic Highlights. For future editions of this report, please consult the latest version. A Chinese translation is available. ☰ Contents Introduction Future Web Standards Meeting Industry Needs Web Payments Digital Publishing Media and Entertainment Web & Telecommunications Real-Time Communications (WebRTC) Web & Networks Automotive Web of Things Strengthening the Core of the Web HTML CSS Fonts SVG Audio Performance Web Performance WebAssembly Testing Browser Testing and Tools WebPlatform Tests Web of Data Web for All Security, Privacy, Identity Internationalization (i18n) Web Accessibility Outreach to the world W3C Developer Relations W3C Training Translations W3C Liaisons Introduction This report highlights recent work of enhancement of the existing landscape of the Web platform and innovation for the growth and strength of the Web. 33 working groups and a dozen interest groups enable W3C to pursue its mission through the creation of Web standards, guidelines, and supporting materials. We track the tremendous work done across the Consortium through homogeneous work-spaces in Github which enables better monitoring and management. We are in the middle of a period where we are chartering numerous working groups which demonstrate the rapid degree of change for the Web platform: After 4 years, we are nearly ready to publish a Payment Request API Proposed Recommendation and we need to soon charter follow-on work. In the last year we chartered the Web Payment Security Interest Group. In the last year we chartered the Web Media Working Group with 7 specifications for next generation Media support on the Web. We have Accessibility Guidelines under W3C Member review which includes Silver, a new approach. We have just launched the Decentralized Identifier Working Group which has tremendous potential because Decentralized Identifier (DID) is an identifier that is globally unique, resolveable with high availability, and cryptographically verifiable. We have Privacy IG (PING) under W3C Member review which strengthens our focus on the tradeoff between privacy and function. We have a new CSS charter under W3C Member review which maps the group's work for the next three years. In this period, W3C and the WHATWG have succesfully completed the negotiation of a Memorandum of Understanding rooted in the mutual belief that that having two distinct specifications claiming to be normative is generally harmful for the Web community. The MOU, signed last May, describes how the two organizations are to collaborate on the development of a single authoritative version of the HTML and DOM specifications. W3C subsequently rechartered the HTML Working Group to assist the W3C community in raising issues and proposing solutions for the HTML and DOM specifications, and for the production of W3C Recommendations from WHATWG Review Drafts. As the Web evolves continuously, some groups are looking for ways for specifications to do so as well. So-called "evergreen recommendations" or "living standards" aim to track continuous development (and maintenance) of features, on a feature-by-feature basis, while getting review and patent commitments. We see the maturation and further development of an incredible number of new technologies coming to the Web. Continued progress in many areas demonstrates the vitality of the W3C and the Web community, as the rest of the report illustrates. Future Web Standards W3C has a variety of mechanisms for listening to what the community thinks could become good future Web standards. These include discussions with the Membership, discussions with other standards bodies, the activities of thousands of participants in over 300 community groups, and W3C Workshops. There are lots of good ideas. The W3C strategy team has been identifying promising topics and invites public participation. Future, recent and under consideration Workshops include: Inclusive XR (5-6 November 2019, Seattle, WA, USA) to explore existing and future approaches on making Virtual and Augmented Reality experiences more inclusive, including to people with disabilities; W3C Workshop on Data Models for Transportation (12-13 September 2019, Palo Alto, CA, USA) W3C Workshop on Web Games (27-28 June 2019, Redmond, WA, USA), view report Second W3C Workshop on the Web of Things (3-5 June 2019, Munich, Germany) W3C Workshop on Web Standardization for Graph Data; Creating Bridges: RDF, Property Graph and SQL (4-6 March 2019, Berlin, Germany), view report Web & Machine Learning. The Strategy Funnel documents the staff's exploration of potential new work at various phases: Exploration and Investigation, Incubation and Evaluation, and eventually to the chartering of a new standards group. The Funnel view is a GitHub Project where new area are issues represented by “cards” which move through the columns, usually from left to right. Most cards start in Exploration and move towards Chartering, or move out of the funnel. Public input is welcome at any stage but particularly once Incubation has begun. This helps W3C identify work that is sufficiently incubated to warrant standardization, to review the ecosystem around the work and indicate interest in participating in its standardization, and then to draft a charter that reflects an appropriate scope. Ongoing feedback can speed up the overall standardization process. Since the previous highlights document, W3C has chartered a number of groups, and started discussion on many more: Newly Chartered or Rechartered Web Application Security WG (03-Apr) Web Payment Security IG (17-Apr) Patent and Standards IG (24-Apr) Web Applications WG (14-May) Web & Networks IG (16-May) Media WG (23-May) Media and Entertainment IG (06-Jun) HTML WG (06-Jun) Decentralized Identifier WG (05-Sep) Extended Privacy IG (PING) (30-Sep) Verifiable Claims WG (30-Sep) Service Workers WG (31-Dec) Dataset Exchange WG (31-Dec) Web of Things Working Group (31-Dec) Web Audio Working Group (31-Dec) Proposed charters / Advance Notice Accessibility Guidelines WG Privacy IG (PING) RDF Literal Direction WG Timed Text WG CSS WG Web Authentication WG Closed Internationalization Tag Set IG Meeting Industry Needs Web Payments All Web Payments specifications W3C's payments standards enable a streamlined checkout experience, enabling a consistent user experience across the Web with lower front end development costs for merchants. Users can store and reuse information and more quickly and accurately complete online transactions. The Web Payments Working Group has republished Payment Request API as a Candidate Recommendation, aiming to publish a Proposed Recommendation in the Fall 2019, and is discussing use cases and features for Payment Request after publication of the 1.0 Recommendation. Browser vendors have been finalizing implementation of features added in the past year (view the implementation report). As work continues on the Payment Handler API and its implementation (currently in Chrome and Edge Canary), one focus in 2019 is to increase adoption in other browsers. Recently, Mastercard demonstrated the use of Payment Request API to carry out EMVCo's Secure Remote Commerce (SRC) protocol whose payment method definition is being developed with active participation by Visa, Mastercard, American Express, and Discover. Payment method availability is a key factor in merchant considerations about adopting Payment Request API. The ability to get uniform adoption of a new payment method such as Secure Remote Commerce (SRC) also depends on the availability of the Payment Handler API in browsers, or of proprietary alternatives. Web Monetization, which the Web Payments Working Group will discuss again at its face-to-face meeting in September, can be used to enable micropayments as an alternative revenue stream to advertising. Since the beginning of 2019, Amazon, Brave Software, JCB, Certus Cybersecurity Solutions and Netflix have joined the Web Payments Working Group. In April, W3C launched the Web Payment Security Group to enable W3C, EMVCo, and the FIDO Alliance to collaborate on a vision for Web payment security and interoperability. Participants will define areas of collaboration and identify gaps between existing technical specifications in order to increase compatibility among different technologies, such as: How do SRC, FIDO, and Payment Request relate? The Payment Services Directive 2 (PSD2) regulations in Europe are scheduled to take effect in September 2019. What is the role of EMVCo, W3C, and FIDO technologies, and what is the current state of readiness for the deadline? How can we improve privacy on the Web at the same time as we meet industry requirements regarding user identity? Digital Publishing All Digital Publishing specifications, Publication milestones The Web is the universal publishing platform. Publishing is increasingly impacted by the Web, and the Web increasingly impacts Publishing. Topic of particular interest to Publishing@W3C include typography and layout, accessibility, usability, portability, distribution, archiving, offline access, print on demand, and reliable cross referencing. And the diverse publishing community represented in the groups consist of the traditional "trade" publishers, ebook reading system manufacturers, but also publishers of audio book, scholarly journals or educational materials, library scientists or browser developers. The Publishing Working Group currently concentrates on Audiobooks which lack a comprehensive standard, thus incurring extra costs and time to publish in this booming market. Active development is ongoing on the future standard: Publication Manifest Audiobook profile for Web Publications Lightweight Packaging Format The BD Comics Manga Community Group, the Synchronized Multimedia for Publications Community Group, the Publishing Community Group and a future group on archival, are companions to the working group where specific work is developed and incubated. The Publishing Community Group is a recently launched incubation channel for Publishing@W3C. The goal of the group is to propose, document, and prototype features broadly related to: publications on the Web reading modes and systems and the user experience of publications The EPUB 3 Community Group has successfully completed the revision of EPUB 3.2. The Publishing Business Group fosters ongoing participation by members of the publishing industry and the overall ecosystem in the development of Web infrastructure to better support the needs of the industry. The Business Group serves as an additional conduit to the Publishing Working Group and several Community Groups for feedback between the publishing ecosystem and W3C. The Publishing BG has played a vital role in fostering and advancing the adoption and continued development of EPUB 3. In particular the BG provided critical support to the update of EPUBCheck to validate EPUB content to the new EPUB 3.2 specification. This resulted in the development, in conjunction with the EPUB3 Community Group, of a new generation of EPUBCheck, i.e., EPUBCheck 4.2 production-ready release. Media and Entertainment All Media specifications The Media and Entertainment vertical tracks media-related topics and features that create immersive experiences for end users. HTML5 brought standard audio and video elements to the Web. Standardization activities since then have aimed at turning the Web into a professional platform fully suitable for the delivery of media content and associated materials, enabling missing features to stream video content on the Web such as adaptive streaming and content protection. Together with Microsoft, Comcast, Netflix and Google, W3C received an Technology & Engineering Emmy Award in April 2019 for standardization of a full TV experience on the Web. Current goals are to: Reinforce core media technologies: Creation of the Media Working Group, to develop media-related specifications incubated in the WICG (e.g. Media Capabilities, Picture-in-picture, Media Session) and maintain maintain/evolve Media Source Extensions (MSE) and Encrypted Media Extensions (EME). Improve support for Media Timed Events: data cues incubation. Enhance color support (HDR, wide gamut), in scope of the CSS WG and in the Color on the Web CG. Reduce fragmentation: Continue annual releases of a common and testable baseline media devices, in scope of the Web Media APIs CG and in collaboration with the CTA WAVE Project. Maintain the Road-map of Media Technologies for the Web which highlights Web technologies that can be used to build media applications and services, as well as known gaps to enable additional use cases. Create the future: Discuss perspectives for Media and Entertainment for the Web. Bring the power of GPUs to the Web (graphics, machine learning, heavy processing), under incubation in the GPU for the Web CG. Transition to a Working Group is under discussion. Determine next steps after the successful W3C Workshop on Web Games of June 2019. View the report. Timed Text The Timed Text Working Group develops and maintains formats used for the representation of text synchronized with other timed media, like audio and video, and notably works on TTML, profiles of TTML, and WebVTT. Recent progress includes: A robust WebVTT implementation report poises the specification for publication as a proposed recommendation. Discussions around re-chartering, notably to add a TTML Profile for Audio Description deliverable to the scope of the group, and clarify that rendering of captions within XR content is also in scope. Immersive Web Hardware that enables Virtual Reality (VR) and Augmented Reality (AR) applications are now broadly available to consumers, offering an immersive computing platform with both new opportunities and challenges. The ability to interact directly with immersive hardware is critical to ensuring that the web is well equipped to operate as a first-class citizen in this environment. The Immersive Web Working Group has been stabilizing the WebXR Device API while the companion Immersive Web Community Group incubates the next series of features identified as key for the future of the Immersive Web. W3C plans a workshop focused on the needs and benefits at the intersection of VR & Accessibility (Inclusive XR), on 5-6 November 2019 in Seattle, WA, USA, to explore existing and future approaches on making Virtual and Augmented Reality experiences more inclusive. Web & Telecommunications The Web is the Open Platform for Mobile. Telecommunication service providers and network equipment providers have long been critical actors in the deployment of Web technologies. As the Web platform matures, it brings richer and richer capabilities to extend existing services to new users and devices, and propose new and innovative services. Real-Time Communications (WebRTC) All Real-Time Communications specifications WebRTC has reshaped the whole communication landscape by making any connected device a potential communication end-point, bringing audio and video communications anywhere, on any network, vastly expanding the ability of operators to reach their customers. WebRTC serves as the corner-stone of many online communication and collaboration services. The WebRTC Working Group aims to bringing WebRTC 1.0 (and companion specification Media Capture and Streams) to Recommendation by the end of 2019. Intense efforts are focused on testing (supported by a dedicated hackathon at IETF 104) and interoperability. The group is considering pushing features that have not gotten enough traction to separate modules or to a later minor revision of the spec. Beyond WebRTC 1.0, the WebRTC Working Group will focus its efforts on WebRTC NV which the group has started documenting by identifying use cases. Web & Networks Recently launched, in the wake of the May 2018 Web5G workshop, the Web & Networks Interest Group is chaired by representatives from AT&T, China Mobile and Intel, with a goal to explore solutions for web applications to achieve better performance and resource allocation, both on the device and network. The group's first efforts are around use cases, privacy & security requirements and liaisons. Automotive All Automotive specifications To create a rich application ecosystem for vehicles and other devices allowed to connect to the vehicle, the W3C Automotive Working Group is delivering a service specification to expose all common vehicle signals (engine temperature, fuel/charge level, range, tire pressure, speed, etc.) The Vehicle Information Service Specification (VISS), which is a Candidate Recommendation, is seeing more implementations across the industry. It provides the access method to a common data model for all the vehicle signals –presently encapsulating a thousand or so different data elements– and will be growing to accommodate the advances in automotive such as autonomous and driver assist technologies and electrification. The group is already working on a successor to VISS, leveraging the underlying data model and the VIWI submission from Volkswagen, for a more robust means of accessing vehicle signals information and the same paradigm for other automotive needs including location-based services, media, notifications and caching content. The Automotive and Web Platform Business Group acts as an incubator for prospective standards work. One of its task forces is using W3C VISS in performing data sampling and off-boarding the information to the cloud. Access to the wealth of information that W3C's auto signals standard exposes is of interest to regulators, urban planners, insurance companies, auto manufacturers, fleet managers and owners, service providers and others. In addition to components needed for data sampling and edge computing, capturing user and owner consent, information collection methods and handling of data are in scope. The upcoming W3C Workshop on Data Models for Transportation (September 2019) is expected to focus on the need of additional ontologies around transportation space. Web of Things All Web of Things specifications W3C's Web of Things work is designed to bridge disparate technology stacks to allow devices to work together and achieve scale, thus enabling the potential of the Internet of Things by eliminating fragmentation and fostering interoperability. Thing descriptions expressed in JSON-LD cover the behavior, interaction affordances, data schema, security configuration, and protocol bindings. The Web of Things complements existing IoT ecosystems to reduce the cost and risk for suppliers and consumers of applications that create value by combining multiple devices and information services. There are many sectors that will benefit, e.g. smart homes, smart cities, smart industry, smart agriculture, smart healthcare and many more. The Web of Things Working Group is finishing the initial Web of Things standards, with support from the Web of Things Interest Group: Web of Things Architecture Thing Descriptions Strengthening the Core of the Web HTML The HTML Working Group was chartered early June to assist the W3C community in raising issues and proposing solutions for the HTML and DOM specifications, and to produce W3C Recommendations from WHATWG Review Drafts. A few days before, W3C and the WHATWG signed a Memorandum of Understanding outlining the agreement to collaborate on the development of a single version of the HTML and DOM specifications. Issues and proposed solutions for HTML and DOM done via the newly rechartered HTML Working Group in the WHATWG repositories The HTML Working Group is targetting November 2019 to bring HTML and DOM to Candidate Recommendations. CSS All CSS specifications CSS is a critical part of the Open Web Platform. The CSS Working Group gathers requirements from two large groups of CSS users: the publishing industry and application developers. Within W3C, those groups are exemplified by the Publishing groups and the Web Platform Working Group. The former requires things like better pagination support and advanced font handling, the latter needs intelligent (and fast!) scrolling and animations. What we know as CSS is actually a collection of almost a hundred specifications, referred to as ‘modules’. The current state of CSS is defined by a snapshot, updated once a year. The group also publishes an index defining every term defined by CSS specifications. Fonts All Fonts specifications The Web Fonts Working Group develops specifications that allow the interoperable deployment of downloadable fonts on the Web, with a focus on Progressive Font Enrichment as well as maintenance of WOFF Recommendations. Recent and ongoing work includes: Early API experiments by Adobe and Monotype have demonstrated the feasibility of a font enrichment API, where a server delivers a font with minimal glyph repertoire and the client can query the full repertoire and request additional subsets on-the-fly. In other experiments, the Brotli compression used in WOFF 2 was extended to support shared dictionaries and patch update. Metrics to quantify improvement are a current hot discussion topic. The group will meet at ATypi 2019 in Japan, to gather requirements from the international typography community. The group will first produce a report summarizing the strengths and weaknesses of each prototype solution by Q2 2020. SVG All SVG specifications SVG is an important and widely-used part of the Open Web Platform. The SVG Working Group focuses on aligning the SVG 2.0 specification with browser implementations, having split the specification into a currently-implemented 2.0 and a forward-looking 2.1. Current activity is on stabilization, increased integration with the Open Web Platform, and test coverage analysis. The Working Group was rechartered in March 2019. A new work item concerns native (non-Web-browser) uses of SVG as a non-interactive, vector graphics format. Audio The Web Audio Working Group was extended to finish its work on the Web Audio API, expecting to publish it as a Recommendation by year end. The specification enables synthesizing audio in the browser. Audio operations are performed with audio nodes, which are linked together to form a modular audio routing graph. Multiple sources — with different types of channel layout — are supported. This modular design provides the flexibility to create complex audio functions with dynamic effects. The first version of Web Audio API is now feature complete and is implemented in all modern browsers. Work has started on the next version, and new features are being incubated in the Audio Community Group. Performance Web Performance All Web Performance specifications There are currently 18 specifications in development in the Web Performance Working Group aiming to provide methods to observe and improve aspects of application performance of user agent features and APIs. The W3C team is looking at related work incubated in the W3C GPU for the Web (WebGPU) Community Group which is poised to transition to a W3C Working Group. A preliminary draft charter is available. WebAssembly All WebAssembly specifications WebAssembly improves Web performance and power by being a virtual machine and execution environment enabling loaded pages to run native (compiled) code. It is deployed in Firefox, Edge, Safari and Chrome. The specification will soon reach Candidate Recommendation. WebAssembly enables near-native performance, optimized load time, and perhaps most importantly, a compilation target for existing code bases. While it has a small number of native types, much of the performance increase relative to Javascript derives from its use of consistent typing. WebAssembly leverages decades of optimization for compiled languages and the byte code is optimized for compactness and streaming (the web page starts executing while the rest of the code downloads). Network and API access all occurs through accompanying Javascript libraries -- the security model is identical to that of Javascript. Requirements gathering and language development occur in the Community Group while the Working Group manages test development, community review and progression of specifications on the Recommendation Track. Testing Browser testing plays a critical role in the growth of the Web by: Improving the reliability of Web technology definitions; Improving the quality of implementations of these technologies by helping vendors to detect bugs in their products; Improving the data available to Web developers on known bugs and deficiencies of Web technologies by publishing results of these tests. Browser Testing and Tools The Browser Testing and Tools Working Group is developing WebDriver version 2, having published last year the W3C Recommendation of WebDriver. WebDriver acts as a remote control interface that enables introspection and control of user agents, provides a platform- and language-neutral wire protocol as a way for out-of-process programs to remotely instruct the behavior of Web, and emulates the actions of a real person using the browser. WebPlatform Tests The WebPlatform Tests project now provides a mechanism which allows to fully automate tests that previously needed to be run manually: TestDriver. TestDriver enables sending trusted key and mouse events, sending complex series of trusted pointer and key interactions for things like in-content drag-and-drop or pinch zoom, and even file upload. Since 2014 W3C began work on this coordinated open-source effort to build a cross-browser test suite for the Web Platform, which WHATWG, and all major browsers adopted. Web of Data All Data specifications There have been several great success stories around the standardization of data on the web over the past year. Verifiable Claims seems to have significant uptake. It is also significant that the Distributed Identifier WG charter has received numerous favorable reviews, and was just recently launched. JSON-LD has been a major success with the large deployment on Web sites via schema.org. JSON-LD 1.1 completed technical work, about to transition to CR More than 25% of websites today include schema.org data in JSON-LD The Web of Things description is in CR since May, making use of JSON-LD Verifiable Credentials data model is in CR since July, also making use of JSON-LD Continued strong interest in decentralized identifiers Engagement from the TAG with reframing core documents, such as Ethical Web Principles, to include data on the web within their scope Data is increasingly important for all organizations, especially with the rise of IoT and Big Data. W3C has a mature and extensive suite of standards relating to data that were developed over two decades of experience, with plans for further work on making it easier for developers to work with graph data and knowledge graphs. Linked Data is about the use of URIs as names for things, the ability to dereference these URIs to get further information and to include links to other data. There are ever-increasing sources of open Linked Data on the Web, as well as data services that are restricted to the suppliers and consumers of those services. The digital transformation of industry is seeking to exploit advanced digital technologies. This will facilitate businesses to integrate horizontally along the supply and value chains, and vertically from the factory floor to the office floor. W3C is seeking to make it easier to support enterprise-wide data management and governance, reflecting the strategic importance of data to modern businesses. Traditional approaches to data have focused on tabular databases (SQL/RDBMS), Comma Separated Value (CSV) files, and data embedded in PDF documents and spreadsheets. We're now in midst of a major shift to graph data with nodes and labeled directed links between them. Graph data is: Faster than using SQL and associated JOIN operations More favorable to integrating data from heterogeneous sources Better suited to situations where the data model is evolving In the wake of the recent W3C Workshop on Graph Data we are in the process of launching a Graph Standardization Business Group to provide a business perspective with use cases and requirements, to coordinate technical standards work and liaisons with external organizations. Web for All Security, Privacy, Identity All Security specifications, all Privacy specifications Authentication on the Web As the WebAuthn Level 1 W3C Recommendation published last March is seeing wide implementation and adoption of strong cryptographic authentication, work is proceeding on Level 2. The open standard Web API gives native authentication technology built into native platforms, browsers, operating systems (including mobile) and hardware, offering protection against hacking, credential theft, phishing attacks, thus aiming to end the era of passwords as a security construct. You may read more in our March press release. Privacy An increasing number of W3C specifications are benefitting from Privacy and Security review; there are security and privacy aspects to every specification. Early review is essential. Working with the TAG, the Privacy Interest Group has updated the Self-Review Questionnaire: Security and Privacy. Other recent work of the group includes public blogging further to the exploration of anti-patterns in standards and permission prompts. Security The Web Application Security Working Group adopted Feature Policy, aiming to allow developers to selectively enable, disable, or modify the behavior of some of these browser features and APIs within their application; and Fetch Metadata, aiming to provide servers with enough information to make a priori decisions about whether or not to service a request based on the way it was made, and the context in which it will be used. The Web Payment Security Interest Group, launched last April, convenes members from W3C, EMVCo, and the FIDO Alliance to discuss cooperative work to enhance the security and interoperability of Web payments (read more about payments). Internationalization (i18n) All Internationalization specifications, educational articles related to Internationalization, spec developers checklist Only a quarter or so current Web users use English online and that proportion will continue to decrease as the Web reaches more and more communities of limited English proficiency. If the Web is to live up to the "World Wide" portion of its name, and for the Web to truly work for stakeholders all around the world engaging with content in various languages, it must support the needs of worldwide users as they engage with content in the various languages. The growth of epublishing also brings requirements for new features and improved typography on the Web. It is important to ensure the needs of local communities are captured. The W3C Internationalization Initiative was set up to increase in-house resources dedicated to accelerating progress in making the World Wide Web "worldwide" by gathering user requirements, supporting developers, and education & outreach. For an overview of current projects see the i18n radar. W3C's Internationalization efforts progressed on a number of fronts recently: Requirements: New African and European language groups will work on the gap analysis, errata and layout requirements. Gap analysis: Japanese, Devanagari, Bengali, Tamil, Lao, Khmer, Javanese, and Ethiopic updated in the gap-analysis documents. Layout requirements document: notable progress tracked in the Southeast Asian Task Force while work continues on Chinese layout requirements. Developer support: Spec reviews: the i18n WG continues active review of specifications of the WHATWG and other W3C Working Groups. Short review checklist: easy way to begin a self-review to help spec developers understand what aspects of their spec are likely to need attention for internationalization, and points them to more detailed checklists for the relevant topics. It also helps those reviewing specs for i18n issues. Strings on the Web: Language and Direction Metadata lays out issues and discusses potential solutions for passing information about language and direction with strings in JSON or other data formats. The document was rewritten for clarity, and expanded. The group is collaborating with the JSON-LD and Web Publishing groups to develop a plan for updating RDF, JSON-LD and related specifications to handle metadata for base direction of text (bidi). User-friendly test format: a new format was developed for Internationalization Test Suite tests, which displays helpful information about how the test works. This particularly useful because those tests are pointed to by educational materials and gap-analysis documents. Web Platform Tests: a large number of tests in the i18n test suite have been ported to the WPT repository, including: css-counter-styles, css-ruby, css-syntax, css-test, css-text-decor, css-writing-modes, and css-pseudo. Education & outreach: (for all educational materials, see the HTML & CSS Authoring Techniques) Web Accessibility All Accessibility specifications, WAI resources The Web Accessibility Initiative supports W3C's Web for All mission. Recent achievements include: Education and training: Inaccessibility of CAPTCHA updated to bring our analysis and recommendations up to date with CAPTCHA practice today, concluding two years of extensive work and invaluable input from the public (read more on the W3C Blog Learn why your web content and applications should be accessible. The Education and Outreach Working Group has completed revision and updating of the Business Case for Digital Accessibility. Accessibility guidelines: The Accessibility Guidelines Working Group has continued to update WCAG Techniques and Understanding WCAG 2.1; and published a Candidate Recommendation of Accessibility Conformance Testing Rules Format 1.0 to improve inter-rater reliability when evaluating conformance of web content to WCAG An updated charter is being developed to host work on "Silver", the next generation accessibility guidelines (WCAG 2.2) There are accessibility aspects to most specifications. Check your work with the FAST checklist. Outreach to the world W3C Developer Relations To foster the excellent feedback loop between Web Standards development and Web developers, and to grow participation from that diverse community, recent W3C Developer Relations activities include: @w3cdevs tracks the enormous amount of work happening across W3C W3C Track during the Web Conference 2019 in San Francisco Tech videos: W3C published the 2019 Web Games Workshop videos The 16 September 2019 Developer Meetup in Fukuoka, Japan, is open to all and will combine a set of technical demos prepared by W3C groups, and a series of talks on a selected set of W3C technologies and projects W3C is involved with Mozilla, Google, Samsung, Microsoft and Bocoup in the organization of ViewSource 2019 in Amsterdam (read more on the W3C Blog) W3C Training In partnership with EdX, W3C's MOOC training program, W3Cx offers a complete "Front-End Web Developer" (FEWD) professional certificate program that consists of a suite of five courses on the foundational languages that power the Web: HTML5, CSS and JavaScript. We count nearly 900K students from all over the world. Translations Many Web users rely on translations of documents developed at W3C whose official language is English. W3C is extremely grateful to the continuous efforts of its community in ensuring our various deliverables in general, and in our specifications in particular, are made available in other languages, for free, ensuring their exposure to a much more diverse set of readers. Last Spring we developed a more robust system, a new listing of translations of W3C specifications and updated the instructions on how to contribute to our translation efforts. W3C Liaisons Liaisons and coordination with numerous organizations and Standards Development Organizations (SDOs) is crucial for W3C to: make sure standards are interoperable coordinate our respective agenda in Internet governance: W3C participates in ICANN, GIPO, IGF, the I* organizations (ICANN, IETF, ISOC, IAB). ensure at the government liaison level that our standards work is officially recognized when important to our membership so that products based on them (often done by our members) are part of procurement orders. W3C has ARO/PAS status with ISO. W3C participates in the EU MSP and Rolling Plan on Standardization ensure the global set of Web and Internet standards form a compatible stack of technologies, at the technical and policy level (patent regime, fragmentation, use in policy making) promote Standards adoption equally by the industry, the public sector, and the public at large Coralie Mercier, Editor, W3C Marketing & Communications $Id: Overview.html,v 1.60 2019/10/15 12:05:52 coralie Exp $ Copyright © 2019 W3C ® (MIT, ERCIM, Keio, Beihang) Usage policies apply.
Masudbro94
Open in app Get started ITNEXT Published in ITNEXT You have 2 free member-only stories left this month. Sign up for Medium and get an extra one Kush Kush Follow Apr 15, 2021 · 7 min read · Listen Save How you can Control your Android Device with Python Photo by Caspar Camille Rubin on Unsplash Photo by Caspar Camille Rubin on Unsplash Introduction A while back I was thinking of ways in which I could annoy my friends by spamming them with messages for a few minutes, and while doing some research I came across the Android Debug Bridge. In this quick guide I will show you how you can interface with it using Python and how to create 2 quick scripts. The ADB (Android Debug Bridge) is a command line tool (CLI) which can be used to control and communicate with an Android device. You can do many things such as install apps, debug apps, find hidden features and use a shell to interface with the device directly. To enable the ADB, your device must firstly have Developer Options unlocked and USB debugging enabled. To unlock developer options, you can go to your devices settings and scroll down to the about section and find the build number of the current software which is on the device. Click the build number 7 times and Developer Options will be enabled. Then you can go to the Developer Options panel in the settings and enable USB debugging from there. Now the only other thing you need is a USB cable to connect your device to your computer. Here is what todays journey will look like: Installing the requirements Getting started The basics of writing scripts Creating a selfie timer Creating a definition searcher Installing the requirements The first of the 2 things we need to install, is the ADB tool on our computer. This comes automatically bundled with Android Studio, so if you already have that then do not worry. Otherwise, you can head over to the official docs and at the top of the page there should be instructions on how to install it. Once you have installed the ADB tool, you need to get the python library which we will use to interface with the ADB and our device. You can install the pure-python-adb library using pip install pure-python-adb. Optional: To make things easier for us while developing our scripts, we can install an open-source program called scrcpy which allows us to display and control our android device with our computer using a mouse and keyboard. To install it, you can head over to the Github repo and download the correct version for your operating system (Windows, macOS or Linux). If you are on Windows, then extract the zip file into a directory and add this directory to your path. This is so we can access the program from anywhere on our system just by typing in scrcpy into our terminal window. Getting started Now that all the dependencies are installed, we can start up our ADB and connect our device. Firstly, connect your device to your PC with the USB cable, if USB debugging is enabled then a message should pop up asking if it is okay for your PC to control the device, simply answer yes. Then on your PC, open up a terminal window and start the ADB server by typing in adb start-server. This should print out the following messages: * daemon not running; starting now at tcp:5037 * daemon started successfully If you also installed scrcpy, then you can start that by just typing scrcpy into the terminal. However, this will only work if you added it to your path, otherwise you can open the executable by changing your terminal directory to the directory of where you installed scrcpy and typing scrcpy.exe. Hopefully if everything works out, you should be able to see your device on your PC and be able to control it using your mouse and keyboard. Now we can create a new python file and check if we can find our connected device using the library: Here we import the AdbClient class and create a client object using it. Then we can get a list of devices connected. Lastly, we get the first device out of our list (it is generally the only one there if there is only one device connected). The basics of writing scripts The main way we are going to interface with our device is using the shell, through this we can send commands to simulate a touch at a specific location or to swipe from A to B. To simulate screen touches (taps) we first need to work out how the screen coordinates work. To help with these we can activate the pointer location setting in the developer options. Once activated, wherever you touch on the screen, you can see that the coordinates for that point appear at the top. The coordinate system works like this: A diagram to show how the coordinate system works A diagram to show how the coordinate system works The top left corner of the display has the x and y coordinates (0, 0) respectively, and the bottom right corners’ coordinates are the largest possible values of x and y. Now that we know how the coordinate system works, we need to check out the different commands we can run. I have made a list of commands and how to use them below for quick reference: Input tap x y Input text “hello world!” Input keyevent eventID Here is a list of some common eventID’s: 3: home button 4: back button 5: call 6: end call 24: volume up 25: volume down 26: turn device on or off 27: open camera 64: open browser 66: enter 67: backspace 207: contacts 220: brightness down 221: brightness up 277: cut 278: copy 279: paste If you wanted to find more, here is a long list of them here. Creating a selfie timer Now we know what we can do, let’s start doing it. In this first example I will show you how to create a quick selfie timer. To get started we need to import our libraries and create a connect function to connect to our device: You can see that the connect function is identical to the previous example of how to connect to your device, except here we return the device and client objects for later use. In our main code, we can call the connect function to retrieve the device and client objects. From there we can open up the camera app, wait 5 seconds and take a photo. It’s really that simple! As I said before, this is simply replicating what you would usually do, so thinking about how to do things is best if you do them yourself manually first and write down the steps. Creating a definition searcher We can do something a bit more complex now, and that is to ask the browser to find the definition of a particular word and take a screenshot to save it on our computer. The basic flow of this program will be as such: 1. Open the browser 2. Click the search bar 3. Enter the search query 4. Wait a few seconds 5. Take a screenshot and save it But, before we get started, you need to find the coordinates of your search bar in your default browser, you can use the method I suggested earlier to find them easily. For me they were (440, 200). To start, we will have to import the same libraries as before, and we will also have our same connect method. In our main function we can call the connect function, as well as assign a variable to the x and y coordinates of our search bar. Notice how this is a string and not a list or tuple, this is so we can easily incorporate the coordinates into our shell command. We can also take an input from the user to see what word they want to get the definition for: We will add that query to a full sentence which will then be searched, this is so that we can always get the definition. After that we can open the browser and input our search query into the search bar as such: Here we use the eventID 66 to simulate the press of the enter key to execute our search. If you wanted to, you could change the wait timings per your needs. Lastly, we will take a screenshot using the screencap method on our device object, and we can save that as a .png file: Here we must open the file in the write bytes mode because the screencap method returns bytes representing the image. If all went according to plan, you should have a quick script which searches for a specific word. Here it is working on my phone: A GIF to show how the definition searcher example works on my phone A GIF to show how the definition searcher example works on my phone Final thoughts Hopefully you have learned something new today, personally I never even knew this was a thing before I did some research into it. The cool thing is, that you can do anything you normal would be able to do, and more since it just simulates your own touches and actions! I hope you enjoyed the article and thank you for reading! 💖 468 9 468 9 More from ITNEXT Follow ITNEXT is a platform for IT developers & software engineers to share knowledge, connect, collaborate, learn and experience next-gen technologies. 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bookworm52
Welcome to my comprehensive course on python programming and ethical hacking. The course assumes you have NO prior knowledge in any of these topics, and by the end of it you'll be at a high intermediate level being able to combine both of these skills to write python programs to hack into computer systems exactly the same way that black hat hackers do. That's not all, you'll also be able to use the programming skills you learn to write any program even if it has nothing to do with hacking. This course is highly practical but it won't neglect the theory, we'll start with basics of ethical hacking and python programming and installing the needed software. Then we'll dive and start programming straight away. You'll learn everything by example, by writing useful hacking programs, no boring dry programming lectures. The course is divided into a number of sections, each aims to achieve a specific goal, the goal is usually to hack into a certain system! We'll start by learning how this system work and its weaknesses, then you'll lean how to write a python program to exploit these weaknesses and hack the system. As we write the program I will teach you python programming from scratch covering one topic at a time. By the end of the course you're going to have a number of ethical hacking programs written by yourself (see below) from backdoors, keyloggers, credential harvesters, network hacking tools, website hacking tools and the list goes on. You'll also have a deep understanding on how computer systems work, how to model problems, design an algorithm to solve problems and implement the solution using python. As mentioned in this course you will learn both ethical hacking and programming at the same time, here are some of the topics that will be covered in the course: Programming topics: Writing programs for python 2 and 3. Using modules and libraries. Variables, types ...etc. Handling user input. Reading and writing files. Functions. Loops. Data structures. Regex. Desiccation making. Recursion. Threading. Object oriented programming. Packet manipulation using scapy. Netfilterqueue. Socket programming. String manipulation. Exceptions. Serialisation. Compiling programs to binary executables. Sending & receiving HTTP requests. Parsing HTML. + more! Hacking topics: Basics of network hacking / penetration testing. Changing MAC address & bypassing filtering. Network mapping. ARP Spoofing - redirect the flow of packets in a network. DNS Spoofing - redirect requests from one website to another. Spying on any client connected to the network - see usernames, passwords, visited urls ....etc. Inject code in pages loaded by any computer connected to the same network. Replace files on the fly as they get downloaded by any computer on the same network. Detect ARP spoofing attacks. Bypass HTTPS. Create malware for Windows, OS X and Linux. Create trojans for Windows, OS X and Linux. Hack Windows, OS X and Linux using custom backdoor. Bypass Anti-Virus programs. Use fake login prompt to steal credentials. Display fake updates. Use own keylogger to spy on everything typed on a Windows & Linux. Learn the basics of website hacking / penetration testing. Discover subdomains. Discover hidden files and directories in a website. Run wordlist attacks to guess login information. Discover and exploit XSS vulnerabilities. Discover weaknesses in websites using own vulnerability scanner. Programs you'll build in this course: You'll learn all the above by implementing the following hacking programs mac_changer - changes MAC Address to anything we want. network_scanner - scans network and discovers the IP and MAC address of all connected clients. arp_spoofer - runs an arp spoofing attack to redirect the flow of packets in the network allowing us to intercept data. packet_sniffer - filters intercepted data and shows usernames, passwords, visited links ....etc dns_spoofer - redirects DNS requests, eg: redirects requests to from one domain to another. file_interceptor - replaces intercepted files with any file we want. code_injector - injects code in intercepted HTML pages. arpspoof_detector - detects ARP spoofing attacks. execute_command payload - executes a system command on the computer it gets executed on. execute_and_report payload - executes a system command and reports result via email. download_and_execute payload - downloads a file and executes it on target system. download_execute_and_report payload - downloads a file, executes it, and reports result by email. reverse_backdoor - gives remote control over the system it gets executed on, allows us to Access file system. Execute system commands. Download & upload files keylogger - records key-strikes and sends them to us by email. crawler - discovers hidden paths on a target website. discover_subdomains - discovers subdomains on target website. spider - maps the whole target website and discovers all files, directories and links. guess_login - runs a wordlist attack to guess login information. vulnerability_scanner - scans a target website for weaknesses and produces a report with all findings. As you build the above you'll learn: Setting up a penetration testing lab to practice hacking safely. Installing Kali Linux and Windows as virtual machines inside ANY operating system. Linux Basics. Linux terminal basics. How networks work. How clients communicate in a network. Address Resolution Protocol - ARP. Network layers. Domain Name System - DNS. Hypertext Transfer Protocol - HTTP. HTTPS. How anti-virus programs work. Sockets. Connecting devices over TCP. Transferring data over TCP. How website work. GET & POST requests. And more! By the end of the course you're going to have programming skills to write any program even if it has nothing to do with hacking, but you'll learn programming by programming hacking tools! With this course you'll get 24/7 support, so if you have any questions you can post them in the Q&A section and we'll respond to you within 15 hours. Notes: This course is created for educational purposes only and all the attacks are launched in my own lab or against devices that I have permission to test. This course is totally a product of Zaid Sabih & zSecurity, no other organisation is associated with it or a certification exam. Although, you will receive a Course Completion Certification from Udemy, apart from that NO OTHER ORGANISATION IS INVOLVED. What you’ll learn 170+ videos on Python programming & ethical hacking Install hacking lab & needed software (on Windows, OS X and Linux) Learn 2 topics at the same time - Python programming & Ethical Hacking Start from 0 up to a high-intermediate level Write over 20 ethical hacking and security programs Learn by example, by writing exciting programs Model problems, design solutions & implement them using Python Write programs in Python 2 and 3 Write cross platform programs that work on Windows, OS X & Linux Have a deep understanding on how computer systems work Have a strong base & use the skills learned to write any program even if its not related to hacking Understand what is Hacking, what is Programming, and why are they related Design a testing lab to practice hacking & programming safely Interact & use Linux terminal Understand what MAC address is & how to change it Write a python program to change MAC address Use Python modules and libraries Understand Object Oriented Programming Write object oriented programs Model & design extendable programs Write a program to discover devices connected to the same network Read, analyse & manipulate network packets Understand & interact with different network layers such as ARP, DNS, HTTP ....etc Write a program to redirect the flow of packets in a network (arp spoofer) Write a packet sniffer to filter interesting data such as usernames and passwords Write a program to redirect DNS requests (DNS Spoofer) Intercept and modify network packets on the fly Write a program to replace downloads requested by any computer on the network Analyse & modify HTTP requests and responses Inject code in HTML pages loaded by any computer on the same network Downgrade HTTPS to HTTP Write a program to detect ARP Spoofing attacks Write payloads to download a file, execute command, download & execute, download execute & report .....etc Use sockets to send data over TCP Send data reliably over TCP Write client-server programs Write a backdoor that works on Windows, OS X and Linux Implement cool features in the backdoor such as file system access, upload and download files and persistence Write a remote keylogger that can register all keystrikes and send them by Email Interact with files using python (read, write & modify) Convert python programs to binary executables that work on Windows, OS X and Linux Convert malware to torjans that work and function like other file types like an image or a PDF Bypass Anti-Virus Programs Understand how websites work, the technologies used and how to test them for weaknesses Send requests towebsites and analyse responses Write a program that can discover hidden paths in a website Write a program that can map a website and discover all links, subdomains, files and directories Extract and submit forms from python Run dictionary attacks and guess login information on login pages Analyse HTML using Python Interact with websites using Python Write a program that can discover vulnerabilities in websites Are there any course requirements or prerequisites? Basic IT knowledge No Linux, programming or hacking knowledge required. Computer with a minimum of 4GB ram/memory Operating System: Windows / OS X / Linux Who this course is for: Anybody interested in learning Python programming Anybody interested in learning ethical hacking / penetration testing Instructor User photo Zaid Sabih Ethical Hacker, Computer Scientist & CEO of zSecurity My name is Zaid Al-Quraishi, I am an ethical hacker, a computer scientist, and the founder and CEO of zSecurity. I just love hacking and breaking the rules, but don’t get me wrong as I said I am an ethical hacker. I have tremendous experience in ethical hacking, I started making video tutorials back in 2009 in an ethical hacking community (iSecuri1ty), I also worked as a pentester for the same company. In 2013 I started teaching my first course live and online, this course received amazing feedback which motivated me to publish it on Udemy. This course became the most popular and the top paid course in Udemy for almost a year, this motivated me to make more courses, now I have a number of ethical hacking courses, each focusing on a specific field, dominating the ethical hacking topic on Udemy. Now I have more than 350,000 students on Udemy and other teaching platforms such as StackSocial, StackSkills and zSecurity. Instructor User photo z Security Leading provider of ethical hacking and cyber security training, zSecurity is a leading provider of ethical hacking and cyber security training, we teach hacking and security to help people become ethical hackers so they can test and secure systems from black-hat hackers. Becoming an ethical hacker is simple but not easy, there are many resources online but lots of them are wrong and outdated, not only that but it is hard to stay up to date even if you already have a background in cyber security. Our goal is to educate people and increase awareness by exposing methods used by real black-hat hackers and show how to secure systems from these hackers. Video course
sanusanth
What is C#? C# is pronounced "C-Sharp". It is an object-oriented programming language created by Microsoft that runs on the .NET Framework. C# has roots from the C family, and the language is close to other popular languages like C++ and Java. The first version was released in year 2002. The latest version, C# 8, was released in September 2019. C# is a modern object-oriented programming language developed in 2000 by Anders Hejlsberg, the principal designer and lead architect at Microsoft. It is pronounced as "C-Sharp," inspired by the musical notation “♯” which stands for a note with a slightly higher pitch. As it’s considered an incremental compilation of the C++ language, the name C “sharp” seemed most appropriate. The sharp symbol, however, has been replaced by the keyboard friendly “#” as a suffix to “C” for purposes of programming. Although the code is very similar to C++, C# is newer and has grown fast with extensive support from Microsoft. The fact that it’s so similar to Java syntactically helps explain why it has emerged as one of the most popular programming languages today. C# is pronounced "C-Sharp". It is an object-oriented programming language created by Microsoft that runs on the .NET Framework. C# has roots from the C family, and the language is close to other popular languages like C++ and Java. The first version was released in year 2002. The latest version, C# 8, was released in September 2019. C# is used for: Mobile applications Desktop applications Web applications Web services Web sites Games VR Database applications And much, much more! An Introduction to C# Programming C# is a general-purpose, object-oriented programming language that is structured and easy to learn. It runs on Microsoft’s .Net Framework and can be compiled on a variety of computer platforms. As the syntax is simple and easy to learn, developers familiar with C, C++, or Java have found a comfort zone within C#. C# is a boon for developers who want to build a wide range of applications on the .NET Framework—Windows applications, Web applications, and Web services—in addition to building mobile apps, Windows Store apps, and enterprise software. It is thus considered a powerful programming language and features in every developer’s cache of tools. Although first released in 2002, when it was introduced with .NET Framework 1.0, the C# language has evolved a great deal since then. The most recent version is C# 8.0, available in preview as part of Visual Studio. To get access to all of the new language features, you would need to install the latest preview version of .NET Core 3.0. C# is used for: Mobile applications Desktop applications Web applications Web services Web sites Games VR Database applications And much, much more! Why Use C#? It is one of the most popular programming language in the world It is easy to learn and simple to use It has a huge community support C# is an object oriented language which gives a clear structure to programs and allows code to be reused, lowering development costs. As C# is close to C, C++ and Java, it makes it easy for programmers to switch to C# or vice versa. The C# Environment You need the .NET Framework and an IDE (integrated development environment) to work with the C# language. The .NET Framework The .NET Framework platform of the Windows OS is required to write web and desktop-based applications using not only C# but also Visual Basic and Jscript, as the platform provides language interoperability. Besides, the .Net Framework allows C# to communicate with any of the other common languages, such as C++, Jscript, COBOL, and so on. IDEs Microsoft provides various IDEs for C# programming: Visual Studio 2010 (VS) Visual Studio Express Visual Web Developer Visual Studio Code (VSC) The C# source code files can be written using a basic text editor, like Notepad, and compiled using the command-line compiler of the .NET Framework. Alternative open-source versions of the .Net Framework can work on other operating systems as well. For instance, the Mono has a C# compiler and runs on several operating systems, including Linux, Mac, Android, BSD, iOS, Windows, Solaris, and UNIX. This brings enhanced development tools to the developer. As C# is part of the .Net Framework platform, it has access to its enormous library of codes and components, such as Common Language Runtime (CLR), the .Net Framework Class Library, Common Language Specification, Common Type System, Metadata and Assemblies, Windows Forms, ASP.Net and ASP.Net AJAX, Windows Workflow Foundation (WF), Windows Communication Foundation (WCF), and LINQ. C# and Java C# and Java are high-level programming languages that share several similarities (as well as many differences). They are both object-oriented languages much influenced by C++. But while C# is suitable for application development in the Microsoft ecosystem from the front, Java is considered best for client-side web applications. Also, while C# has many tools for programming, Java has a larger arsenal of tools to choose from in IDEs and Text Editors. C# is used for virtual reality projects like games, mobile, and web applications. It is built specifically for Microsoft platforms and several non-Microsoft-based operating systems, like the Mono Project that works with Linux and OS X. Java is used for creating messaging applications and developing web-based and enterprise-based applications in open-source ecosystems. Both C# and Java support arrays. However, each language uses them differently. In C#, arrays are a specialization of the system; in Java, they are a direct specialization of the object. The C# programming language executes on the CLR. The source code is interpreted into bytecode, which is further compiled by the CLR. Java runs on any platform with the assistance of JRE (Java Runtime Environment). The written source code is first compiled into bytecode and then converted into machine code to be executed on a JRE. C# and C++ Although C# and C++ are both C-based languages with similar code, there are some differences. For one, C# is considered a component-oriented programming language, while C++ is a partial object-oriented language. Also, while both languages are compiled languages, C# compiles to CLR and is interpreted by.NET, but C++ compiles to machine code. The size of binaries in C# is much larger than in C++. Other differences between the two include the following: C# gives compiler errors and warnings, but C++ doesn’t support warnings, which may cause damage to the OS. C# runs in a virtual machine for automatic memory management. C++ requires you to manage memory manually. C# can create Windows, .NET, web, desktop, and mobile applications, but not stand-alone apps. C++ can create server-side, stand-alone, and console applications as it can work directly with the hardware. C++ can be used on any platform, while C# is targeted toward Windows OS. Generally, C++ being faster than C#, the former is preferred for applications where performance is essential. Features of C# The C# programming language has many features that make it more useful and unique when compared to other languages, including: Object-oriented language Being object-oriented, C# allows the creation of modular applications and reusable codes, an advantage over C++. As an object-oriented language, C# makes development and maintenance easier when project size grows. It supports all three object-oriented features: data encapsulation, inheritance, interfaces, and polymorphism. Simplicity C# is a simple language with a structured approach to problem-solving. Unsafe operations, like direct memory manipulation, are not allowed. Speed The compilation and execution time in C# is very powerful and fast. A Modern programming language C# programming is used for building scalable and interoperable applications with support for modern features like automatic garbage collection, error handling, debugging, and robust security. It has built-in support for a web service to be invoked from any app running on any platform. Type-safe Arrays and objects are zero base indexed and bound checked. There is an automatic checking of the overflow of types. The C# type safety instances support robust programming. Interoperability Language interoperability of C# maximizes code reuse for the efficiency of the development process. C# programs can work upon almost anything as a program can call out any native API. Consistency Its unified type system enables developers to extend the type system simply and easily for consistent behavior. Updateable C# is automatically updateable. Its versioning support enables complex frameworks to be developed and evolved. Component oriented C# supports component-oriented programming through the concepts of properties, methods, events, and attributes for self-contained and self-describing components of functionality for robust and scalable applications. Structured Programming Language The structured design and modularization in C# break a problem into parts, using functions for easy implementation to solve significant problems. Rich Library C# has a standard library with many inbuilt functions for easy and fast development. Prerequisites for Learning C# Basic knowledge of C or C++ or any programming language or programming fundamentals. Additionally, the OOP concept makes for a short learning curve of C#. Advantages of C# There are many advantages to the C# language that makes it a useful programming language compared to other languages like Java, C, or C++. These include: Being an object-oriented language, C# allows you to create modular, maintainable applications and reusable codes Familiar syntax Easy to develop as it has a rich class of libraries for smooth implementation of functions Enhanced integration as an application written in .NET will integrate and interpret better when compared to other NET technologies As C# runs on CLR, it makes it easy to integrate with components written in other languages It’s safe, with no data loss as there is no type-conversion so that you can write secure codes The automatic garbage collection keeps the system clean and doesn’t hang it during execution As your machine has to install the .NET Framework to run C#, it supports cross-platform Strong memory backup prevents memory leakage Programming support of the Microsoft ecosystem makes development easy and seamless Low maintenance cost, as C# can develop iOS, Android, and Windows Phone native apps The syntax is similar to C, C++, and Java, which makes it easier to learn and work with C# Useful as it can develop iOS, Android, and Windows Phone native apps with the Xamarin Framework C# is the most powerful programming language for the .NET Framework Fast development as C# is open source steered by Microsoft with access to open source projects and tools on Github, and many active communities contributing to the improvement What Can C Sharp Do for You? C# can be used to develop a wide range of: Windows client applications Windows libraries and components Windows services Web applications Native iOS and Android mobile apps Azure cloud applications and services Gaming consoles and gaming systems Video and virtual reality games Interoperability software like SharePoint Enterprise software Backend services and database programs AI and ML applications Distributed applications Hardware-level programming Virus and malware software GUI-based applications IoT devices Blockchain and distributed ledger technology C# Programming for Beginners: Introduction, Features and Applications By Simplilearn Last updated on Jan 20, 2020674 C# Programming for Beginners As a programmer, you’re motivated to master the most popular languages that will give you an edge in your career. There’s a vast number of programming languages that you can learn, but how do you know which is the most useful? If you know C and C++, do you need to learn C# as well? How similar is C# to Java? Does it become more comfortable for you to learn C# if you already know Java? Every developer and wannabe programmer asks these types of questions. So let us explore C# programming: how it evolved as an extension of C and why you need to learn it as a part of the Master’s Program in integrated DevOps for server-side execution. Are you a web developer or someone interested to build a website? Enroll for the Javascript Certification Training. Check out the course preview now! What is C#? C# is a modern object-oriented programming language developed in 2000 by Anders Hejlsberg, the principal designer and lead architect at Microsoft. It is pronounced as "C-Sharp," inspired by the musical notation “♯” which stands for a note with a slightly higher pitch. As it’s considered an incremental compilation of the C++ language, the name C “sharp” seemed most appropriate. The sharp symbol, however, has been replaced by the keyboard friendly “#” as a suffix to “C” for purposes of programming. Although the code is very similar to C++, C# is newer and has grown fast with extensive support from Microsoft. The fact that it’s so similar to Java syntactically helps explain why it has emerged as one of the most popular programming languages today. An Introduction to C# Programming C# is a general-purpose, object-oriented programming language that is structured and easy to learn. It runs on Microsoft’s .Net Framework and can be compiled on a variety of computer platforms. As the syntax is simple and easy to learn, developers familiar with C, C++, or Java have found a comfort zone within C#. C# is a boon for developers who want to build a wide range of applications on the .NET Framework—Windows applications, Web applications, and Web services—in addition to building mobile apps, Windows Store apps, and enterprise software. It is thus considered a powerful programming language and features in every developer’s cache of tools. Although first released in 2002, when it was introduced with .NET Framework 1.0, the C# language has evolved a great deal since then. The most recent version is C# 8.0, available in preview as part of Visual Studio. To get access to all of the new language features, you would need to install the latest preview version of .NET Core 3.0. The C# Environment You need the .NET Framework and an IDE (integrated development environment) to work with the C# language. The .NET Framework The .NET Framework platform of the Windows OS is required to write web and desktop-based applications using not only C# but also Visual Basic and Jscript, as the platform provides language interoperability. Besides, the .Net Framework allows C# to communicate with any of the other common languages, such as C++, Jscript, COBOL, and so on. IDEs Microsoft provides various IDEs for C# programming: Visual Studio 2010 (VS) Visual Studio Express Visual Web Developer Visual Studio Code (VSC) The C# source code files can be written using a basic text editor, like Notepad, and compiled using the command-line compiler of the .NET Framework. Alternative open-source versions of the .Net Framework can work on other operating systems as well. For instance, the Mono has a C# compiler and runs on several operating systems, including Linux, Mac, Android, BSD, iOS, Windows, Solaris, and UNIX. This brings enhanced development tools to the developer. As C# is part of the .Net Framework platform, it has access to its enormous library of codes and components, such as Common Language Runtime (CLR), the .Net Framework Class Library, Common Language Specification, Common Type System, Metadata and Assemblies, Windows Forms, ASP.Net and ASP.Net AJAX, Windows Workflow Foundation (WF), Windows Communication Foundation (WCF), and LINQ. C# and Java C# and Java are high-level programming languages that share several similarities (as well as many differences). They are both object-oriented languages much influenced by C++. But while C# is suitable for application development in the Microsoft ecosystem from the front, Java is considered best for client-side web applications. Also, while C# has many tools for programming, Java has a larger arsenal of tools to choose from in IDEs and Text Editors. C# is used for virtual reality projects like games, mobile, and web applications. It is built specifically for Microsoft platforms and several non-Microsoft-based operating systems, like the Mono Project that works with Linux and OS X. Java is used for creating messaging applications and developing web-based and enterprise-based applications in open-source ecosystems. Both C# and Java support arrays. However, each language uses them differently. In C#, arrays are a specialization of the system; in Java, they are a direct specialization of the object. The C# programming language executes on the CLR. The source code is interpreted into bytecode, which is further compiled by the CLR. Java runs on any platform with the assistance of JRE (Java Runtime Environment). The written source code is first compiled into bytecode and then converted into machine code to be executed on a JRE. C# and C++ Although C# and C++ are both C-based languages with similar code, there are some differences. For one, C# is considered a component-oriented programming language, while C++ is a partial object-oriented language. Also, while both languages are compiled languages, C# compiles to CLR and is interpreted by.NET, but C++ compiles to machine code. The size of binaries in C# is much larger than in C++. Other differences between the two include the following: C# gives compiler errors and warnings, but C++ doesn’t support warnings, which may cause damage to the OS. C# runs in a virtual machine for automatic memory management. C++ requires you to manage memory manually. C# can create Windows, .NET, web, desktop, and mobile applications, but not stand-alone apps. C++ can create server-side, stand-alone, and console applications as it can work directly with the hardware. C++ can be used on any platform, while C# is targeted toward Windows OS. Generally, C++ being faster than C#, the former is preferred for applications where performance is essential. Features of C# The C# programming language has many features that make it more useful and unique when compared to other languages, including: Object-oriented language Being object-oriented, C# allows the creation of modular applications and reusable codes, an advantage over C++. As an object-oriented language, C# makes development and maintenance easier when project size grows. It supports all three object-oriented features: data encapsulation, inheritance, interfaces, and polymorphism. Simplicity C# is a simple language with a structured approach to problem-solving. Unsafe operations, like direct memory manipulation, are not allowed. Speed The compilation and execution time in C# is very powerful and fast. A Modern programming language C# programming is used for building scalable and interoperable applications with support for modern features like automatic garbage collection, error handling, debugging, and robust security. It has built-in support for a web service to be invoked from any app running on any platform. Type-safe Arrays and objects are zero base indexed and bound checked. There is an automatic checking of the overflow of types. The C# type safety instances support robust programming. Interoperability Language interoperability of C# maximizes code reuse for the efficiency of the development process. C# programs can work upon almost anything as a program can call out any native API. Consistency Its unified type system enables developers to extend the type system simply and easily for consistent behavior. Updateable C# is automatically updateable. Its versioning support enables complex frameworks to be developed and evolved. Component oriented C# supports component-oriented programming through the concepts of properties, methods, events, and attributes for self-contained and self-describing components of functionality for robust and scalable applications. Structured Programming Language The structured design and modularization in C# break a problem into parts, using functions for easy implementation to solve significant problems. Rich Library C# has a standard library with many inbuilt functions for easy and fast development. Full Stack Java Developer Course The Gateway to Master Web DevelopmentEXPLORE COURSEFull Stack Java Developer Course Prerequisites for Learning C# Basic knowledge of C or C++ or any programming language or programming fundamentals. Additionally, the OOP concept makes for a short learning curve of C#. Advantages of C# There are many advantages to the C# language that makes it a useful programming language compared to other languages like Java, C, or C++. These include: Being an object-oriented language, C# allows you to create modular, maintainable applications and reusable codes Familiar syntax Easy to develop as it has a rich class of libraries for smooth implementation of functions Enhanced integration as an application written in .NET will integrate and interpret better when compared to other NET technologies As C# runs on CLR, it makes it easy to integrate with components written in other languages It’s safe, with no data loss as there is no type-conversion so that you can write secure codes The automatic garbage collection keeps the system clean and doesn’t hang it during execution As your machine has to install the .NET Framework to run C#, it supports cross-platform Strong memory backup prevents memory leakage Programming support of the Microsoft ecosystem makes development easy and seamless Low maintenance cost, as C# can develop iOS, Android, and Windows Phone native apps The syntax is similar to C, C++, and Java, which makes it easier to learn and work with C# Useful as it can develop iOS, Android, and Windows Phone native apps with the Xamarin Framework C# is the most powerful programming language for the .NET Framework Fast development as C# is open source steered by Microsoft with access to open source projects and tools on Github, and many active communities contributing to the improvement What Can C Sharp Do for You? C# can be used to develop a wide range of: Windows client applications Windows libraries and components Windows services Web applications Native iOS and Android mobile apps Azure cloud applications and services Gaming consoles and gaming systems Video and virtual reality games Interoperability software like SharePoint Enterprise software Backend services and database programs AI and ML applications Distributed applications Hardware-level programming Virus and malware software GUI-based applications IoT devices Blockchain and distributed ledger technology Who Should Learn the C# Programming Language and Why? C# is one of the most popular programming languages as it can be used for a variety of applications: mobile apps, game development, and enterprise software. What’s more, the C# 8.0 version is packed with several new features and enhancements to the C# language that can change the way developers write their C# code. The most important new features available are ‘null reference types,’ enhanced ‘pattern matching,’ and ‘async streams’ that help you to write more reliable and readable code. As you’re exposed to the fundamental programming concepts of C# in this course, you can work on projects that open the doors for you as a Full Stack Java Developer. So, upskill and master the C# language for a faster career trajectory and salary scope.
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NICEHASH PLATFORM TERMS OF USE AND NICEHASH MINING TERMS OF SERVICE PLEASE READ THESE NICEHASH PLATFORM TERMS OF USE AND NICEHASH MINING TERMS OF SERVICE (“Terms”) CAREFULLY BEFORE USING THE THE PLATFORM OR SERVICES DESCRIBED HEREIN. BY SELECTING “I AGREE”, ACCESSING THE PLATFORM, USING NICEHASH MINING SERVICES OR DOWNLOADING OR USING NICEHASH MINING SOFTWARE, YOU ARE ACKNOWLEDGING THAT YOU HAVE READ THESE TERMS, AS AMENDED FROM TIME TO TIME, AND YOU ARE AGREEING TO BE BOUND BY THEM. IF YOU DO NOT AGREE TO THESE TERMS, OR ANY SUBSEQUENT AMENDMENTS, CHANGES OR UPDATES, DO NOT ACCESS THE PLATFORM, USE NICEHASH MINING SERVICES OR USE THE NICEHASH MINING SOFTWARE. GENERAL These Terms apply to users of the NiceHash Platform (“Platform” and NiceHash Mining Services (“Services”) which are provided to you by NICEHASH Ltd, company organized and existing under the laws of the British Virgin Islands, with registered address at Intershore Chambers, Road Town, Tortola, British Virgin Islands, registration number: 2048669, hereinafter referred to as “NiceHash, as well as “we” or “us”. ELIGIBILITY By using the NiceHash platform and NiceHash Mining Services, you represent and warrant that you: are at least Minimum Age and have capacity to form a binding contract; have not previously been suspended or removed from the NiceHash Platform; have full power and authority to enter into this agreement and in doing so will not violate any other agreement to which you are a party; are not not furthering, performing, undertaking, engaging in, aiding, or abetting any unlawful activity through your relationship with us, through your use of NiceHash Platform or use of NiceHash Mining Services; will not use NiceHash Platform or NiceHash Mining Services if any applicable laws in your country prohibit you from doing so in accordance with these Terms. We reserve the right to terminate your access to the NiceHash Platform and Mining Services for any reason and in our sole and absolute discretion. Use of NiceHash Platform and Mining Services is void where prohibited by applicable law. Depending on your country of residence or incorporation or registered office, you may not be able to use all the functions of the NiceHash Platform or services provided therein. It is your responsibility to follow the rules and laws in your country of residence and/or country from which you access the NiceHash Platform. DEFINITIONS NiceHash Platform means a website located on the following web address: www.nicehash.com. NiceHash Mining Services mean all services provided by NiceHash, namely the provision of the NiceHash Platform, NiceHash Hashing power marketplace, NiceHash API, NiceHash OS, NiceHash Mining Software including licence for NiceHash Miner, NiceHash Private Endpoint, NiceHash Account, NiceHash mobile apps, and all other software products, applications and services associated with these products, except for the provision of NiceHash Exchange Services. NiceHash Exchange Service means a service which allows trading of digital assets in the form of digital tokens or cryptographic currency for our users by offering them a trading venue, helping them find a trading counterparty and providing the means for transaction execution. NiceHash Exchange Services are provided by NICEX Ltd and accessible at the NiceHash Platform under NiceHash Exchange Terms of Service. Hashing power marketplace means an infrastructure provided by the NiceHash which enables the Hashing power providers to point their rigs towards NiceHash stratum servers where Hashing power provided by different Hashing power providers is gathered and sold as generic Hashing power to the Hashing power buyers. Hashing power buyer means a legal entity or individual who buys the gathered and generic hashing power on the Hashing power marketplace from undefined Hashing power providers. Hashing power provider means a legal entity or individual who sells his hashing power on the Hashing power marketplace to undefined Hashing power buyers. NiceHash Mining Software means NiceHash Miner and any other software available via the NiceHash Platform. NiceHash Miner means a comprehensive software with graphical user interface and web interface, owned by NiceHash. NiceHash Miner is a process manager software which enables the Hashing power providers to point their rigs towards NiceHash stratum servers and sell their hashing power to the Hashing power buyers. NiceHash Miner also means any and all of its code, compilations, updates, upgrades, modifications, error corrections, patches and bug fixes and similar. NiceHash Miner does not mean third party software compatible with NiceHash Miner (Third Party Plugins and Miners). NiceHash QuickMiner means a software accessible at https://www.nicehash.com/quick-miner which enables Hashing power providers to point their PCs or rigs towards NiceHash stratum servers and sell their hashing power to the Hashing power buyers. NiceHash QuickMiner is intended as a tryout tool. Hashing power rig means all hardware which produces hashing power that represents computation power which is required to calculate the hash function of different type of cryptocurrency. Secondary account is an account managed by third party from which the Account holder deposits funds to his NiceHash Wallet or/and to which the Account holder withdraws funds from his NiceHash Wallet. Stratum is a lightweight mining protocol: https://slushpool.com/help/manual/stratum-protocol. NiceHash Account means an online account available on the NiceHash Platform and created by completing the registration procedure on the NiceHash Platform. Account holder means an individual or legal entity who completes the registration procedure and successfully creates the NiceHash Account. Minimum Age means 18 years old or older, if in order for NiceHash to lawfully provide the Services to you without parental consent (including using your personal data). NiceHash Wallet means a wallet created automatically for the Account holder and provided by the NiceHash Wallet provider. NiceHash does not hold funds on behalf of the Account holder but only transfers Account holder’s requests regarding the NiceHash Wallet transaction to the NiceHash Wallet provider who executes the requested transactions. In this respect NiceHash only processes and performs administrative services related to the payments regarding the NiceHash Mining Services and NiceHash Exchange Services, if applicable. NiceHash Wallet provider is a third party which on the behalf of the Account holder provides and manages the NiceHash Wallet, holds, stores and transfers funds and hosts NiceHash Wallet. For more information about the NiceHash Wallet provider, see the following website: https://www.bitgo.com/. Blockchain network is a distributed database that is used to maintain a continuously growing list of records, called blocks. Force Majeure Event means any governmental or relevant regulatory regulations, acts of God, war, riot, civil commotion, fire, flood, or any disaster or an industrial dispute of workers unrelated to you or NiceHash. Any act, event, omission, happening or non-happening will only be considered Force Majeure if it is not attributable to the wilful act, neglect or failure to take reasonable precautions of the affected party, its agents, employees, consultants, contractors and sub-contractors. SALE AND PURCHASE OF HASHING POWER Hashing power providers agree to sell and NiceHash agrees to proceed Hashing power buyers’ payments for the provided hashing power on the Hashing power marketplace, on the Terms set forth herein. According to the applicable principle get-paid-per-valid-share (pay as you go principle) Hashing power providers will be paid only for validated and accepted hashing power to their NiceHash Wallet or other wallet, as indicated in Account holder’s profile settings or in stratum connection username. In some cases, no Hashing power is sent to Hashing power buyers or is accepted by NiceHash Services, even if Hashing power is generated on the Hashing power rigs. These cases include usage of slower hardware as well as software, hardware or network errors. In these cases, Hashing power providers are not paid for such Hashing power. Hashing power buyers agree to purchase and NiceHash agrees to process the order and forward the purchased hashing power on the Hashing power marketplace, on the Terms set forth herein. According to the applicable principle pay-per-valid-share (pay as you go principle) Hashing power buyers will pay from their NiceHash Wallet only for the hashing power that was validated by our engine. When connection to the mining pool which is selected on the Hashing power order is lost or when an order is cancelled during its lifetime, Hashing power buyer pays for additional 10 seconds worth of hashing power. Hashing power order is charged for extra hashing power when mining pool which is selected on the Hashing power order, generates rapid mining work changes and/or rapid mining job switching. All payments including any fees will be processed in crypto currency and NiceHash does not provide an option to sale and purchase of the hashing power in fiat currency. RISK DISCLOSURE If you choose to use NiceHash Platform, Services and NiceHash Wallet, it is important that you remain aware of the risks involved, that you have adequate technical resources and knowledge to bear such risks and that you monitor your transactions carefully. General risk You understand that NiceHash Platform and Services, blockchain technology, Bitcoin, all other cryptocurrencies and cryptotokens, proof of work concept and other associated and related technologies are new and untested and outside of NiceHash’s control. You acknowledge that there are major risks associated with these technologies. In addition to the risks disclosed below, there are risks that NiceHash cannot foresee and it is unreasonable to believe that such risk could have been foreseeable. The performance of NiceHash’s obligation under these Terms will terminate if market or technology circumstances change to such an extent that (i) these Terms clearly no longer comply with NiceHash’s expectations, (ii) it would be unjust to enforce NiceHash’s obligations in the general opinion or (iii) NiceHash’s obligation becomes impossible. NiceHash Account abuse You acknowledge that there is risk associated with the NiceHash Account abuse and that you have been fully informed and warned about it. The funds stored in the NiceHash Wallet may be disposed by third party in case the third party obtains the Account holder’s login credentials. The Account holder shall protect his login credentials and his electronic devices where the login credentials are stored against unauthorized access. Regulatory risks You acknowledge that there is risk associated with future legislation which may restrict, limit or prohibit certain aspects of blockchain technology which may also result in restriction, limitation or prohibition of NiceHash Services and that you have been fully informed and warned about it. Risk of hacking You acknowledge that there is risk associated with hacking NiceHash Services and NiceHash Wallet and that you have been fully informed and warned about it. Hacker or other groups or organizations may attempt to interfere with NiceHash Services or NiceHash Wallet in any way, including without limitation denial of services attacks, Sybil attacks, spoofing, smurfing, malware attacks, mining attacks or consensus-based attacks. Cryptocurrency risk You acknowledge that there is risk associated with the cryptocurrencies which are used as payment method and that you have been fully informed and warned about it. Cryptocurrencies are prone to, but not limited to, value volatility, transaction costs and times uncertainty, lack of liquidity, availability, regulatory restrictions, policy changes and security risks. NiceHash Wallet risk You acknowledge that there is risk associated with funds held on the NiceHash Wallet and that you have been fully informed and warned about it. You acknowledge that NiceHash Wallet is provided by NiceHash Wallet provider and not NiceHash. You acknowledge and agree that NiceHash shall not be responsible for any NiceHash Wallet provider’s services, including their accuracy, completeness, timeliness, validity, copyright compliance, legality, decency, quality or any other aspect thereof. NiceHash does not assume and shall not have any liability or responsibility to you or any other person or entity for any Hash Wallet provider’s services. Hash Wallet provider’s services and links thereto are provided solely as a convenience to you and you access and use them entirely at your own risk and subject to NiceHash Wallet provider’s terms and conditions. Since the NiceHash Wallet is a cryptocurrency wallet all funds held on it are entirely uninsured in contrast to the funds held on the bank account or other financial institutions which are insured. Connection risk You acknowledge that there are risks associated with usage of NiceHash Services which are provided through the internet including, but not limited to, the failure of hardware, software, configuration and internet connections and that you have been fully informed and warned about it. You acknowledge that NiceHash will not be responsible for any configuration, connection or communication failures, disruptions, errors, distortions or delays you may experience when using NiceHash Services, however caused. Hashing power provision risk You acknowledge that there are risks associated with the provisions of the hashing power which is provided by the Hashing power providers through the Hashing power marketplace and that you have been fully informed and warned about it. You acknowledge that NiceHash does not provide the hashing power but only provides the Hashing power marketplace as a service. Hashing power providers’ Hashing power rigs are new and untested and outside of NiceHash’s control. There is a major risk that the Hashing power rigs (i) will stop providing hashing power, (ii) will provide hashing power in an unstable way, (iii) will be wrongly configured or (iv) provide insufficient speed of the hashing power. Hashing power rigs as hardware could be subject of damage, errors, electricity outage, misconfiguration, connection or communication failures and other malfunctions. NiceHash will not be responsible for operation of Hashing power rigs and its provision of hashing power. By submitting a Hashing power order you agree to Hashing power no-refund policy – all shares forwarded to mining pool, selected on the Hashing power order are final and non-refundable. Hashing power profitability risk You acknowledge that there is risk associated with the profitability of the hashing power provision and that you have been fully informed and warned about it. You acknowledge that all Hashing power rig’s earning estimates and profitability calculations on NiceHash Platform are only for informational purposes and were made based on the Hashing power rigs set up in the test environments. NiceHash does not warrant that your Hashing power rigs would achieve the same profitability or earnings as calculated on NiceHash Platform. There is risk that your Hashing power rig would not produce desired hashing power quantity and quality and that your produced hashing power would differentiate from the hashing power produced by our Hashing power rigs set up in the test environments. There is risk that your Hashing power rigs would not be as profitable as our Hashing power rigs set up in the test environments or would not be profitable at all. WARRANTIES NiceHash Platform and Mining Services are provided on the “AS IS” and “AS AVAILABLE” basis, including all faults and defects. To the maximum extent permitted by applicable law, NiceHash makes no representations and warranties and you waive all warranties of any kind. Particularly, without limiting the generality of the foregoing, the NiceHash makes no representations and warranties, whether express, implied, statutory or otherwise regarding NiceHash Platform and Mining Services or other services related to NiceHash Platform and provided by third parties, including any warranty that such services will be uninterrupted, harmless, secure or not corrupt or damaged, meet your requirements, achieve any intended results, be compatible or work with any other software, applications, systems or services, meet any performance or error free or that any errors or defects can or will be corrected. Additionally NiceHash makes no representations and warranties, whether express, implied, statutory or otherwise of merchantability, suitability, reliability, availability, timeliness, accuracy, satisfactory quality, fitness for a particular purpose or quality, title and non-infringement with respect to any of the Mining Services or other services related to NiceHash Platform and provided by third parties, or quiet enjoyment and any warranties arising out of any course of dealing, course of performance, trade practice or usage of NiceHash Platform and Mining Services including information, content and material contained therein. Especially NiceHash makes no representations and warranties, whether express, implied, statutory or otherwise regarding any payment services and systems, NiceHash Wallet which is provided by third party or any other financial services which might be related to the NiceHash Platform and Mining Services. You acknowledge that you do not rely on and have not been induced to accept the NiceHash Platform and Mining Services according to these Terms on the basis of any warranties, representations, covenants, undertakings or any other statement whatsoever, other than expressly set out in these Terms that neither the NiceHash nor any of its respective agents, officers, employees or advisers have given any such warranties, representations, covenants, undertakings or other statements. LIABILITY NiceHash and their respective officers, employees or agents will not be liable to you or anyone else, to the maximum extent permitted by applicable law, for any damages of any kind, including, but not limited to, direct, consequential, incidental, special or indirect damages (including but not limited to lost profits, trading losses or damages that result from use or loss of use of NiceHash Services or NiceHash Wallet), even if NiceHash has been advised of the possibility of such damages or losses, including, without limitation, from the use or attempted use of NiceHash Platform and Mining Services, NiceHash Wallet or other related websites or services. NiceHash does not assume any obligations to users in connection with the unlawful alienation of Bitcoins, which occurred on 6. 12. 2017 with NICEHASH, d. o. o., and has been fully reimbursed with the completion of the NiceHash Repayment Program. NiceHash will not be responsible for any compensation, reimbursement, or damages arising in connection with: (i) your inability to use the NiceHash Platform and Mining Services, including without limitation as a result of any termination or suspension of the NiceHash Platform or these Terms, power outages, maintenance, defects, system failures, mistakes, omissions, errors, defects, viruses, delays in operation or transmission or any failure of performance, (ii) the cost of procurement of substitute goods or services, (iii) any your investments, expenditures, or commitments in connection with these Terms or your use of or access to the NiceHash Platform and Mining Services, (iv) your reliance on any information obtained from NiceHash, (v) Force Majeure Event, communications failure, theft or other interruptions or (vi) any unauthorized access, alteration, deletion, destruction, damage, loss or failure to store any data, including records, private key or other credentials, associated with NiceHash Platform and Mining Services or NiceHash Wallet. Our aggregate liability (including our directors, members, employees and agents), whether in contract, warranty, tort (including negligence, whether active, passive or imputed), product liability, strict liability or other theory, arising out of or relating to the use of NiceHash Platform and Mining Services, or inability to use the Platform and Services under these Terms or under any other document or agreement executed and delivered in connection herewith or contemplated hereby, shall in any event not exceed 100 EUR per user. You will defend, indemnify, and hold NiceHash harmless and all respective employees, officers, directors, and representatives from and against any claims, demand, action, damages, loss, liabilities, costs and expenses (including reasonable attorney fees) arising out of or relating to (i) any third-party claim concerning these Terms, (ii) your use of, or conduct in connection with, NiceHash Platform and Mining Services, (iii) any feedback you provide, (iv) your violation of these Terms, (v) or your violation of any rights of any other person or entity. If you are obligated to indemnify us, we will have the right, in our sole discretion, to control any action or proceeding (at our expense) and determine whether we wish to settle it. If we are obligated to respond to a third-party subpoena or other compulsory legal order or process described above, you will also reimburse us for reasonable attorney fees, as well as our employees’ and contractors’ time and materials spent responding to the third-party subpoena or other compulsory legal order or process at reasonable hourly rates. The Services and the information, products, and services included in or available through the NiceHash Platform may include inaccuracies or typographical errors. Changes are periodically added to the information herein. Improvements or changes on the NiceHash Platform can be made at any time. NICEHASH ACCOUNT The registration of the NiceHash Account is made through the NiceHash Platform, where you are required to enter your email address and password in the registration form. After successful completion of registration, the confirmation email is sent to you. After you confirm your registration by clicking on the link in the confirmation email the NiceHash Account is created. NiceHash will send you proof of completed registration once the process is completed. When you create NiceHash Account, you agree to (i) create a strong password that you change frequently and do not use for any other website, (ii) implement reasonable and appropriate measures designed to secure access to any device which has access to your email address associated with your NiceHash Account and your username and password for your NiceHash Account, (iii) maintain the security of your NiceHash Account by protecting your password and by restricting access to your NiceHash Account; (iv) promptly notify us if you discover or otherwise suspect any security breaches related to your NiceHash Account so we can take all required and possible measures to secure your NiceHash Account and (v) take responsibility for all activities that occur under your NiceHash Account and accept all risks of any authorized or unauthorized access to your NiceHash Account, to the maximum extent permitted by law. Losing access to your email, registered at NiceHash Platform, may also mean losing access to your NiceHash Account. You may not be able to use the NiceHash Platform or Mining Services, execute withdrawals and other security sensitive operations until you regain access to your email address, registered at NiceHash Platform. If you wish to change the email address linked to your NiceHash Account, we may ask you to complete a KYC procedure for security purposes. This step serves solely for the purpose of identification in the process of regaining access to your NiceHash Account. Once the NiceHash Account is created a NiceHash Wallet is automatically created for the NiceHash Account when the request for the first deposit to the NiceHash Wallet is made by the user. Account holder’s NiceHash Wallet is generated by NiceHash Wallet provider. Account holder is strongly suggested to enhance the security of his NiceHash Account by adding an additional security step of Two-factor authentication (hereinafter “2FA”) when logging into his account, withdrawing funds from his NiceHash Wallet or placing a new order. Account holder can enable this security feature in the settings of his NiceHash Account. In the event of losing or changing 2FA code, we may ask the Account holder to complete a KYC procedure for security reasons. This step serves solely for the purpose of identification in the process of reactivating Account holders 2FA and it may be subject to an a In order to use certain functionalities of the NiceHash Platform, such as paying for the acquired hashing power, users must deposit funds to the NiceHash Wallet, as the payments for the hashing power could be made only through NiceHash Wallet. Hashing power providers have two options to get paid for the provided hashing power: (i) by using NiceHash Wallet to receive the payments or (ii) by providing other Bitcoin address where the payments shall be received to. Hashing power providers provide their Bitcoin address to NiceHash by providing such details via Account holder’s profile settings or in a form of a stratum username while connecting to NiceHash stratum servers. Account holder may load funds on his NiceHash Wallet from his Secondary account. Account holder may be charged fees by the Secondary account provider or by the blockchain network for such transaction. NiceHash is not responsible for any fees charged by Secondary account providers or by the blockchain network or for the management and security of the Secondary accounts. Account holder is solely responsible for his use of Secondary accounts and Account holder agrees to comply with all terms and conditions applicable to any Secondary accounts. The timing associated with a load transaction will depend in part upon the performance of Secondary accounts providers, the performance of blockchain network and performance of the NiceHash Wallet provider. NiceHash makes no guarantee regarding the amount of time it may take to load funds on to NiceHash Wallet. NiceHash Wallet shall not be used by Account holders to keep, save and hold funds for longer period and also not for executing other transactions which are not related to the transactions regarding the NiceHash Platform. The NiceHash Wallet shall be used exclusively and only for current and ongoing transactions regarding the NiceHash Platform. Account holders shall promptly withdraw any funds kept on the NiceHash Wallet that will not be used and are not intended for the reasons described earlier. Commission fees may be charged by the NiceHash Wallet provider, by the blockchain network or by NiceHash for any NiceHash Wallet transactions. Please refer to the NiceHash Platform, for more information about the commission fees for NiceHash Wallet transactions which are applicable at the time of the transaction. NiceHash reserves the right to change these commission fees according to the provisions to change these Terms at any time for any reason. You have the right to use the NiceHash Account only in compliance with these Terms and other commercial terms and principles published on the NiceHash Platform. In particular, you must observe all regulations aimed at ensuring the security of funds and financial transactions. Provided that the balance of funds in your NiceHash Wallet is greater than any minimum balance requirements needed to satisfy any of your open orders, you may withdraw from your NiceHash Wallet any amount of funds, up to the total amount of funds in your NiceHash Wallet in excess of such minimum balance requirements, to Secondary Account, less any applicable withdrawal fees charged by NiceHash or by the blockchain network for such transaction. Withdrawals are not processed instantly and may be grouped with other withdrawal requests. Some withdrawals may require additional verification information which you will have to provide in order to process the withdrawal. It may take up to 24 hours before withdrawal is fully processed and distributed to the Blockchain network. Please refer to the NiceHash Platform for more information about the withdrawal fees and withdrawal processing. NiceHash reserves the right to change these fees according to the provisions to change these Terms at any time for any reason. You have the right to close the NiceHash Account. In case you have funds on your NiceHash Wallet you should withdraw funds from your account prior to requesting NiceHash Account closure. After we receive your NiceHash Account closure request we will deactivate your NiceHash Account. You can read more about closing the NiceHash Account in our Privacy Policy. Your NiceHash Account may be deactivated due to your inactivity. Your NiceHash account may be locked and a mandatory KYC procedure is applied for security reasons, if it has been more than 6 month since your last login. NiceHash or any of its partners or affiliates are not responsible for the loss of the funds, stored on or transferred from the NiceHash Wallet, as well as for the erroneous implementation of the transactions made via NiceHash Wallet, where such loss or faulty implementation of the transaction are the result of a malfunction of the NiceHash Wallet and the malfunction was caused by you or the NiceHash Wallet provider. You are obliged to inform NiceHash in case of loss or theft, as well as in the case of any possible misuse of the access data to your NiceHash Account, without any delay, and demand change of access data or closure of your existing NiceHash Account and submit a request for new access data. NiceHash will execute the change of access data or closure of the NiceHash Account and the opening of new NiceHash Account as soon as technically possible and without any undue delay. All information pertaining to registration, including a registration form, generation of NiceHash Wallet and detailed instructions on the use of the NiceHash Account and NiceHash Wallet are available at NiceHash Platform. The registration form as well as the entire system is properly protected from unwanted interference by third parties. KYC PROCEDURE NiceHash is appropriately implementing AML/CTF and security measures to diligently detect and prevent any malicious or unlawful use of NiceHash Services or use, which is strictly prohibited by these Terms, which are deemed as your agreement to provide required personal information for identity verification. Security measures include a KYC procedure, which is aimed at determining the identity of an individual user or an organisation. We may ask you to complete this procedure before enabling some or all functionalities of the NiceHash platform and provide its services. A KYC procedure might be applied as a security measure when: changing the email address linked to your NiceHash Account, losing or changing your 2FA code; logging in to your NiceHash Account for the first time after the launch of the new NiceHash Platform in August 2019, gaining access to all or a portion of NiceHash Services, NiceHash Wallet and its related services or any portion thereof if they were disabled due to and activating your NiceHash Account if it has been deactivated due to its inactivity and/or security or other reasons. HASHING POWER TRANSACTIONS General NiceHash may, at any time and in our sole discretion, (i) refuse any order submitted or provided hashing power, (ii) cancel an order or part of the order before it is executed, (iii) impose limits on the order amount permitted or on provided hashing power or (iv) impose any other conditions or restrictions upon your use of the NiceHash Platform and Mining Services without prior notice. For example, but not limited to, NiceHash may limit the number of open orders that you may establish or limit the type of supported Hashing power rigs and mining algorithms or NiceHash may restrict submitting orders or providing hashing power from certain locations. Please refer to the NiceHash Platform, for more information about terminology, hashing power transactions’ definitions and descriptions, order types, order submission, order procedure, order rules and other restrictions and limitations of the hashing power transactions. NiceHash reserves the right to change any transaction, definitions, description, order types, procedure, rules, restrictions and limitations at any time for any reason. Orders, provision of hashing power, payments, deposits, withdrawals and other transactions are accepted only through the interface of the NiceHash Platform, NiceHash API and NiceHash Account and are fixed by the software and hardware tools of the NiceHash Platform. If you do not understand the meaning of any transaction option, NiceHash strongly encourages you not to utilize any of those options. Hashing Power Order In order to submit an Hashing Power Order via the NiceHash Account, the Hashing power buyer must have available funds in his NiceHash Wallet. Hashing power buyer submits a new order to buy hashing power via the NiceHash Platform or via the NiceHash API by setting the following parameters in the order form: NiceHash service server location, third-party mining pool, algorithm to use, order type, set amount he is willing to spend on this order, set price per hash he is willing to pay, optionally approximate limit maximum hashing power for his order and other parameters as requested and by confirming his order. Hashing power buyer may submit an order in maximum amount of funds available on his NiceHash Wallet at the time of order submission. Order run time is only approximate since order’s lifetime is based on the number of hashes that it delivers. Particularly during periods of high volume, illiquidity, fast movement or volatility in the marketplace for any digital assets or hashing power, the actual price per hash at which some of the orders are executed may be different from the prevailing price indicated on NiceHash Platform at the time of your order. You understand that NiceHash is not liable for any such price fluctuations. In the event of market disruption, NiceHash Services disruption, NiceHash Hashing Power Marketplace disruption or manipulation or Force Majeure Event, NiceHash may do one or more of the following: (i) suspend access to the NiceHash Account or NiceHash Platform, or (ii) prevent you from completing any actions in the NiceHash Account, including closing any open orders. Following any such event, when trading resumes, you acknowledge that prevailing market prices may differ significantly from the prices available prior to such event. When Hashing power buyer submits an order for purchasing of the Hashing power via NiceHash Platform or via the NiceHash API he authorizes NiceHash to execute the order on his behalf and for his account in accordance with such order. Hashing power buyer acknowledges and agrees that NiceHash is not acting as his broker, intermediary, agent or advisor or in any fiduciary capacity. NiceHash executes the order in set order amount minus NiceHash’s processing fee. Once the order is successfully submitted the order amount starts to decrease in real time according to the payments for the provided hashing power. Hashing power buyer agrees to pay applicable processing fee to NiceHash for provided services. The NiceHash’s fees are deducted from Hashing power buyer’s NiceHash Wallet once the whole order is exhausted and completed. Please refer to the NiceHash Platform, for more information about the fees which are applicable at the time of provision of services. NiceHash reserves the right to change these fees according to the provisions to change these Terms at any time for any reason. The changed fees will apply only for the NiceHash Services provided after the change of the fees. All orders submitted prior the fee change but not necessary completed prior the fee change will be charged according to the fees applicable at the time of the submission of the order. NiceHash will attempt, on a commercially reasonable basis, to execute the Hashing power buyer’s purchase of the hashing power on the Hashing power marketplace under these Terms according to the best-effort delivery approach. In this respect NiceHash does not guarantee that the hashing power will actually be delivered or verified and does not guarantee any quality of the NiceHash Services. Hashing power buyer may cancel a submitted order during order’s lifetime. If an order has been partially executed, Hashing power buyer may cancel the unexecuted remainder of the order. In this case the NiceHash’s processing fee will apply only for the partially executed order. NiceHash reserves the right to refuse any order cancellation request once the order has been submitted. Selling Hashing Power and the Provision of Hashing Power In order to submit the hashing power to the NiceHash stratum server the Hashing power provider must first point its Hashing power rig to the NiceHash stratum server. Hashing power provider is solely responsible for configuration of his Hashing power rig. The Hashing power provider gets paid by Hashing power buyers for all validated and accepted work that his Hashing power rig has produced. The provided hashing power is validated by NiceHash’s stratum engine and validator. Once the hashing power is validated the Hashing power provider is entitled to receive the payment for his work. NiceHash logs all validated hashing power which was submitted by the Hashing power provider. The Hashing power provider receives the payments of current globally weighted average price on to his NiceHash Wallet or his selected personal Bitcoin address. The payments are made periodically depending on the height of payments. NiceHash reserves the right to hold the payments any time and for any reason by indicating the reason, especially if the payments represent smaller values. Please refer to the NiceHash Platform, for more information about the height of payments for provided hashing power, how the current globally weighted average price is calculated, payment periods, payment conditions and conditions for detention of payments. NiceHash reserves the right to change this payment policy according to the provisions to change these Terms at any time for any reason. All Hashing power rig’s earnings and profitability calculations on NiceHash Platform are only for informational purposes. NiceHash does not warrant that your Hashing power rigs would achieve the same profitability or earnings as calculated on NiceHash Platform. You hereby acknowledge that it is possible that your Hashing power rigs would not be as profitable as indicated in our informational calculations or would not be profitable at all. Hashing power provider agrees to pay applicable processing fee to NiceHash for provided Services. The NiceHash’s fees are deducted from all the payments made to the Hashing power provider for his provided work. Please refer to the NiceHash Platform, for more information about the fees which are applicable at the time of provision of services. Hashing power provider which has not submitted any hashing power to the NiceHash stratum server for a period of 90 days agrees that a processing fee of 0.00001000 BTC or less, depending on the unpaid mining balance, will be deducted from his unpaid mining balance. NiceHash reserves the right to change these fees according to the provisions to change these Terms at any time for any reason. The changed fees will apply only for the NiceHash Services provided after the change of the fees. NiceHash will attempt, on a commercially reasonable basis, to execute the provision of Hashing power providers’ hashing power on the Hashing power marketplace under these Terms according to the best-effort delivery approach. In this respect NiceHash does not guarantee that the hashing power will actually be delivered or verified and does not guarantee any quality of the NiceHash Services. Hashing power provider may disconnect the Hashing power rig from the NiceHash stratum server any time. NiceHash reserves the right to refuse any Hashing power rig once the Hashing power rig has been pointed towards NiceHash stratum server. RESTRICTIONS When accessing the NiceHash Platform or using the Mining Services or NiceHash Wallet, you warrant and agree that you: will not use the Services for any purpose that is unlawful or prohibited by these Terms, will not violate any law, contract, intellectual property or other third-party right or commit a tort, are solely responsible for your conduct while accessing the NiceHash Platform or using the Mining Services or NiceHash Wallet, will not access the NiceHash Platform or use the Mining Services in any manner that could damage, disable, overburden, or impair the provision of the Services or interfere with any other party's use and enjoyment of the Services, will not misuse and/or maliciously use Hashing power rigs, you will particularly refrain from using network botnets or using NiceHash Platform or Mining Services with Hashing power rigs without the knowledge or awareness of Hashing power rig owner(s), will not perform or attempt to perform any kind of malicious attacks on blockchains with the use of the NiceHash Platform or Mining Services, intended to maliciously gain control of more than 50% of the network's mining hash rate, will not use the NiceHash Platform or Mining Services for any kind of market manipulation or disruption, such as but not limited to NiceHash Mining Services disruption and NiceHash Hashing Power Marketplace manipulation. In case of any of the above mentioned events, NiceHash reserves the right to immediately suspend your NiceHash Account, freeze or block the funds in the NiceHash Wallet, and suspend your access to NiceHash Platform, particularly if NiceHash believes that such NiceHash Account are in violation of these Terms or Privacy Policy, or any applicable laws and regulation. RIGHTS AND OBLIGATIONS In the event of disputes with you, NiceHash is obliged to prove that the NiceHash service which is the subject of the dispute was not influenced by technical or other failure. You will have possibility to check at any time, subject to technical availability, the transactions details, statistics and available balance of the funds held on the NiceHash Wallet, through access to the NiceHash Account. You may not obtain or attempt to obtain any materials or information through any means not intentionally made available or provided to you or public through the NiceHash Platform or Mining Services. We may, in our sole discretion, at any time, for any or no reason and without liability to you, with prior notice (i) terminate all rights and obligations between you and NiceHash derived from these Terms, (ii) suspend your access to all or a portion of NiceHash Services, NiceHash Wallet and its related services or any portion thereof and delete or deactivate your NiceHash Account and all related information and files in such account (iii) modify, suspend or discontinue, temporarily or permanently, any portion of NiceHash Platform or (iv) provide enhancements or improvements to the features and functionality of the NiceHash Platform, which may include patches, bug fixes, updates, upgrades and other modifications. Any such change may modify or delete certain portion, features or functionalities of the NiceHash Services. You agree that NiceHash has no obligation to (i) provide any updates, or (ii) continue to provide or enable any particular portion, features or functionalities of the NiceHash Services to you. You further agree that all changes will be (i) deemed to constitute an integral part of the NiceHash Platform, and (ii) subject to these Terms. In the event of your breach of these Terms, including but not limited to, for instance, in the event that you breach any term of these Terms, due to legal grounds originating in anti-money laundering and know your client regulation and procedures, or any other relevant applicable regulation, all right and obligations between you and NiceHash derived from these Terms terminate automatically if you fail to comply with these Terms within the notice period of 8 days after you have been warned by NiceHash about the breach and given 8 days period to cure the breaches. NiceHash reserves the right to keep these rights and obligations in force despite your breach of these Terms. In the event of termination, NiceHash will attempt to return you any funds stored on your NiceHash Wallet not otherwise owed to NiceHash, unless NiceHash believes you have committed fraud, negligence or other misconduct. You acknowledge that the NiceHash Services and NiceHash Wallet may be suspended for maintenance. Technical information about the hashing power transactions, including information about chosen server locations, algorithms used, selected mining pools, your business or activities, including all financial and technical information, specifications, technology together with all details of prices, current transaction performance and future business strategy represent confidential information and trade secrets. NiceHash shall, preserve the confidentiality of all before mentioned information and shall not disclose or cause or permit to be disclosed without your permission any of these information to any person save to the extent that such disclosure is strictly to enable you to perform or comply with any of your obligations under these Terms, or to the extent that there is an irresistible legal requirement on you or NiceHash to do so; or where the information has come into the public domain otherwise than through a breach of any of the terms of these Terms. NiceHash shall not be entitled to make use of any of these confidential information and trade secrets other than during the continuance of and pursuant to these Terms and then only for the purpose of carrying out its obligations pursuant to these Terms. NICEHASH MINER LICENSE (NICEHASH MINING SOFTWARE LICENSE) NiceHash Mining Software whether on disk, in read only memory, or any other media or in any other form is licensed, not sold, to you by NiceHash for use only under these Terms. NiceHash retains ownership of the NiceHash Mining Software itself and reserves all rights not expressly granted to you. Subject to these Terms, you are granted a limited, non-transferable, non-exclusive and a revocable license to download, install and use the NiceHash Mining Software. You may not distribute or make the NiceHash Mining Software available over a network where it could be used by multiple devices at the same time. You may not rent, lease, lend, sell, redistribute, assign, sublicense host, outsource, disclose or otherwise commercially exploit the NiceHash Mining Software or make it available to any third party. There is no license fee for the NiceHash Mining Software. NiceHash reserves the right to change the license fee policy according to the provisions to change these Terms any time and for any reason, including to decide to start charging the license fee for the NiceHash Mining Software. You are responsible for any and all applicable taxes. You may not, and you agree not to or enable others to, copy, decompile, reverse engineer, reverse compile, disassemble, attempt to derive the source code of, decrypt, modify, or create derivative works of the NiceHash Mining Software or any services provided by the NiceHash Mining Software, or any part thereof (except as and only to the extent any foregoing restriction is prohibited by applicable law or to the extent as may be permitted by the licensing terms governing use of open-sourced components included with the NiceHash Mining Software). If you choose to allow automatic updates, your device will periodically check with NiceHash for updates and upgrades to the NiceHash Mining Software and, if an update or upgrade is available, the update or upgrade will automatically download and install onto your device and, if applicable, your peripheral devices. You can turn off the automatic updates altogether at any time by changing the automatic updates settings found within the NiceHash Mining Software. You agree that NiceHash may collect and use technical and related information, including but not limited to technical information about your computer, system and application software, and peripherals, that is gathered periodically to facilitate the provision of software updates, product support and other services to you (if any) related to the NiceHash Mining Software and to verify compliance with these Terms. NiceHash may use this information, as long as it is in a form that does not personally identify you, to improve our NiceHash Services. NiceHash Mining Software contains features that rely upon information about your selected mining pools. You agree to our transmission, collection, maintenance, processing, and use of all information obtained from you about your selected mining pools. You can opt out at any time by going to settings in the NiceHash Mining Software. NiceHash may provide interest-based advertising to you. If you do not want to receive relevant ads in the NiceHash Mining Software, you can opt out at any time by going to settings in the NiceHash Mining Software. If you opt out, you will continue to receive the same number of ads, but they may be less relevant because they will not be based on your interest. NiceHash Mining Software license is effective until terminated. All provisions of these Terms regarding the termination apply also for the NiceHash Mining Software license. Upon the termination of NiceHash Mining Software license, you shall cease all use of the NiceHash Mining Software and destroy or delete all copies, full or partial, of the NiceHash Mining Software. THIRD PARTY MINERS AND PLUGINS Third Party Miners and Plugins are a third party software which enables the best and most efficient mining operations. NiceHash Miner integrates third party mining software using a third party miner plugin system. Third Party Mining Software is a closed source software which supports mining algorithms for cryptocurrencies and can be integrated into NiceHash Mining Software. Third Party Miner Plugin enables the connection between NiceHash Mining Software and Third Party Mining Software and it can be closed, as well as open sourced. NiceHash Mining Software user interface enables the user to manually select which available Third Party Miners and Plugins will be downloaded and integrated. Users can select or deselect Third Party Miners and Plugins found in the Plugin Manager window. Some of the available Third Party Miners and Plugins which are most common are preselected by NiceHash, but can be deselected, depending on users' needs. The details of the Third Party Miners and Plugins available for NiceHash Mining Software are accessible within the NiceHash Mining Software user interface. The details include, but not limited to, the author of the software and applicable license information, if applicable information about developer fee for Third Party Miners, software version etc. Developer fees may apply to the use of Third Party Miners and Plugins. NiceHash will not be liable, to the maximum extent permitted by applicable law, for any damages of any kind, including, but not limited to, direct, consequential, incidental, special or indirect damages, arising out of using Third Party Miners and Plugins. The latter includes, but is not limited to: i) any power outages, maintenance, defects, system failures, mistakes, omissions, errors, defects, viruses, delays in operation or transmission or any failure of performance; ii) any unauthorized access, alteration, deletion, destruction, damage, loss or failure to store any data, including records, private key or other credentials, associated with usage of Third Party Miners and Plugins and ii) Force Majeure Event, communications failure, theft or other interruptions. If you choose to allow automatic updates, your device will periodically check with NiceHash for updates and upgrades to the installed Third Party Miners and Plugins, if an update or upgrade is available, the update or upgrade will automatically download and install onto your device and, if applicable, your peripheral devices. You can turn off the automatic updates altogether at any time by changing the automatic updates settings found within the NiceHash Mining Software. NICEHASH QUICKMINER NiceHash QuickMiner is a software application that allows the visitors of the NiceHash Quick Miner web page, accessible athttps://www.nicehash.com/quick-miner, to connect their PC or a mining rig to the NiceHash Hashing Power Marketplace. Visitors of the NiceHash Quick Miner web page can try out and experience crypto currency mining without having to register on the NiceHash Platform and create a NiceHash Account. Users are encouraged to do so as soon as possible in order to collect the funds earned using NiceHash Quick Miner. Users can download NiceHash QuickMiner free of charge. In order to operate NiceHash QuickMiner software needs to automatically detect technical information about users' computer hardware. You agree that NiceHash may collect and use technical and related information. For more information please refer to NiceHash Privacy Policy. Funds arising from the usage of NiceHash QuickMiner are transferred to a dedicated cryptocurrency wallet owned and managed by NiceHash. NiceHash QuickMiner Users expressly agree and acknowledge that completing the registration process and creating a NiceHash Account is necessary in order to collect the funds arising from the usage of NiceHash QuickMiner. Users of NiceHash QuickMiner who do not successfully register a NiceHash Account will lose their right to claim funds arising from their usage of NiceHash QuickMiner. Those funds, in addition to the condition that the user has not been active on the NiceHash QuickMiner web page for consecutive 7 days, will be donated to the charity of choice. NICEHASH PRIVATE ENDPOINT NiceHash Private Endpoint is a network interface that connects users privately and securely to NiceHash Stratum servers. Private Endpoint uses a private IP address and avoids additional latency caused by DDOS protection. All NiceHash Private Mining Proxy servers are managed by NiceHash and kept up-to-date. Users can request a dedicated private access endpoint by filling in the form for NiceHash Private Endpoint Solution available at the NiceHash Platform. In the form the user specifies the email address, country, number of connections and locations and algorithms used. Based on the request NiceHash prepares an individualized offer based on the pricing stipulated on the NiceHash Platform, available at https://www.nicehash.com/private-endpoint-solution. NiceHash may request additional information from the users of the Private Endpoint Solution in order to determine whether we are obligated to collect VAT from you, including your VAT identification number. INTELLECTUAL PROPERTY NiceHash retains all copyright and other intellectual property rights, including inventions, discoveries, knowhow, processes, marks, methods, compositions, formulae, techniques, information and data, whether or not patentable, copyrightable or protectable in trademark, and any trademarks, copyrights or patents based thereon over all content and other materials contained on NiceHash Platform or provided in connection with the Services, including, without limitation, the NiceHash logo and all designs, text, graphics, pictures, information, data, software, source code, as well as the compilation thereof, sound files, other files and the selection and arrangement thereof. This material is protected by international copyright laws and other intellectual property right laws, namely trademark. These Terms shall not be understood and interpreted in a way that they would mean assignment of copyright or other intellectual property rights, unless it is explicitly defined so in these Terms. NiceHash hereby grants you a limited, nonexclusive and non-sublicensable license to access and use NiceHash’s copyrighted work and other intellectual property for your personal or internal business use. Such license is subject to these Terms and does not permit any resale, the distribution, public performance or public display, modifying or otherwise making any derivative uses, use, publishing, transmission, reverse engineering, participation in the transfer or sale, or any way exploit any of the copyrighted work and other intellectual property other than for their intended purposes. This granted license will automatically terminate if NiceHash suspends or terminates your access to the Services, NiceHash Wallet or closes your NiceHash Account. NiceHash will own exclusive rights, including all intellectual property rights, to any feedback including, but not limited to, suggestions, ideas or other information or materials regarding NiceHash Services or related products that you provide, whether by email, posting through our NiceHash Platform, NiceHash Account or otherwise and you irrevocably assign any and all intellectual property rights on such feedback unlimited in time, scope and territory. Any Feedback you submit is non-confidential and shall become the sole property of NiceHash. NiceHash will be entitled to the unrestricted use, modification or dissemination of such feedback for any purpose, commercial or otherwise, without acknowledgment or compensation to you. You waive any rights you may have to the feedback. We have the right to remove any posting you make on NiceHash Platform if, in our opinion, your post does not comply with the content standards defined by these Terms. PRIVACY POLICY Please refer to our NiceHash Platform and Mining Services Privacy Policy published on the NiceHash Platform for information about how we collect, use and share your information, as well as what options do you have with regards to your personal information. COMMUNICATION AND SUPPORT You agree and consent to receive electronically all communications, agreements, documents, receipts, notices and disclosures that NiceHash provides in connection with your NiceHash Account or use of the NiceHash Platform and Services. You agree that NiceHash may provide these communications to you by posting them via the NiceHash Account or by emailing them to you at the email address you provide. You should maintain copies of electronic communications by printing a paper copy or saving an electronic copy. 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scorelab
With the growing popularity of BitCoin in the last couple of years, other blockchains have been in development for solving various problems that need distributed consensus. Ethereum blockchain is one example, that gives users to develop "smart contracts" that runs in the blockchain. This gives the ability to develop decentralized applications (or dApps). Users do not need to 'trust' anything or anybody. In addition to that, dApps are always available and will be guaranteed to be available in the future as well. Also, it is resistant to traditional attacks such as DDoS. This framework has given many developers to write a decentralized application without much effort, without needing distributed systems or cryptography knowledge. Many startups are actively developing applications for Ethereum such as Ethereum Name Service (ENS), Etheria or WeiFund. Unfortunately, because the technology being used is bleeding edge it is inevitable that attacks or hacks will target these apps for monetary reasons. Last year DAO suffered a severe attack because of its security flaws. Due to that attack, 3.6m ether was stolen from DAO's smart contract. Also, once you publish a smart contract in Ethereum it is not possible to modify or update it as a regular web application. Thus, even developers identify a critical bug in the contract it is not possible to push a bugfix in a straightforward way. Thus, in order to fill the gap of not having a proper 'smart contract' compatible monitoring service, we propose to build a web application that can monitor other smart contracts in Ethereum and give the capability to safeguard it's critical functions (Ether send and receive) and interact and visualize with smart contract functions in a much simpler way. Also depending smart contracts can using our base smart contracts to gain the advantage of having 'circuit-breaker' which will pause the activity if things go wrong in an unexpected way.
Aryia-Behroziuan
Poole, Mackworth & Goebel 1998, p. 1. Russell & Norvig 2003, p. 55. Definition of AI as the study of intelligent agents: Poole, Mackworth & Goebel (1998), which provides the version that is used in this article. These authors use the term "computational intelligence" as a synonym for artificial intelligence.[1] Russell & Norvig (2003) (who prefer the term "rational agent") and write "The whole-agent view is now widely accepted in the field".[2] Nilsson 1998 Legg & Hutter 2007 Russell & Norvig 2009, p. 2. McCorduck 2004, p. 204 Maloof, Mark. "Artificial Intelligence: An Introduction, p. 37" (PDF). georgetown.edu. Archived (PDF) from the original on 25 August 2018. "How AI Is Getting Groundbreaking Changes In Talent Management And HR Tech". Hackernoon. Archived from the original on 11 September 2019. Retrieved 14 February 2020. Schank, Roger C. (1991). "Where's the AI". AI magazine. Vol. 12 no. 4. p. 38. Russell & Norvig 2009. "AlphaGo – Google DeepMind". Archived from the original on 10 March 2016. Allen, Gregory (April 2020). "Department of Defense Joint AI Center - Understanding AI Technology" (PDF). AI.mil - The official site of the Department of Defense Joint Artificial Intelligence Center. Archived (PDF) from the original on 21 April 2020. Retrieved 25 April 2020. Optimism of early AI: * Herbert Simon quote: Simon 1965, p. 96 quoted in Crevier 1993, p. 109. * Marvin Minsky quote: Minsky 1967, p. 2 quoted in Crevier 1993, p. 109. Boom of the 1980s: rise of expert systems, Fifth Generation Project, Alvey, MCC, SCI: * McCorduck 2004, pp. 426–441 * Crevier 1993, pp. 161–162,197–203, 211, 240 * Russell & Norvig 2003, p. 24 * NRC 1999, pp. 210–211 * Newquist 1994, pp. 235–248 First AI Winter, Mansfield Amendment, Lighthill report * Crevier 1993, pp. 115–117 * Russell & Norvig 2003, p. 22 * NRC 1999, pp. 212–213 * Howe 1994 * Newquist 1994, pp. 189–201 Second AI winter: * McCorduck 2004, pp. 430–435 * Crevier 1993, pp. 209–210 * NRC 1999, pp. 214–216 * Newquist 1994, pp. 301–318 AI becomes hugely successful in the early 21st century * Clark 2015 Pamela McCorduck (2004, p. 424) writes of "the rough shattering of AI in subfields—vision, natural language, decision theory, genetic algorithms, robotics ... and these with own sub-subfield—that would hardly have anything to say to each other." This list of intelligent traits is based on the topics covered by the major AI textbooks, including: * Russell & Norvig 2003 * Luger & Stubblefield 2004 * Poole, Mackworth & Goebel 1998 * Nilsson 1998 Kolata 1982. Maker 2006. Biological intelligence vs. intelligence in general: Russell & Norvig 2003, pp. 2–3, who make the analogy with aeronautical engineering. McCorduck 2004, pp. 100–101, who writes that there are "two major branches of artificial intelligence: one aimed at producing intelligent behavior regardless of how it was accomplished, and the other aimed at modeling intelligent processes found in nature, particularly human ones." Kolata 1982, a paper in Science, which describes McCarthy's indifference to biological models. Kolata quotes McCarthy as writing: "This is AI, so we don't care if it's psychologically real".[19] McCarthy recently reiterated his position at the AI@50 conference where he said "Artificial intelligence is not, by definition, simulation of human intelligence".[20]. Neats vs. scruffies: * McCorduck 2004, pp. 421–424, 486–489 * Crevier 1993, p. 168 * Nilsson 1983, pp. 10–11 Symbolic vs. sub-symbolic AI: * Nilsson (1998, p. 7), who uses the term "sub-symbolic". General intelligence (strong AI) is discussed in popular introductions to AI: * Kurzweil 1999 and Kurzweil 2005 See the Dartmouth proposal, under Philosophy, below. McCorduck 2004, p. 34. McCorduck 2004, p. xviii. McCorduck 2004, p. 3. McCorduck 2004, pp. 340–400. This is a central idea of Pamela McCorduck's Machines Who Think. She writes: "I like to think of artificial intelligence as the scientific apotheosis of a venerable cultural tradition."[26] "Artificial intelligence in one form or another is an idea that has pervaded Western intellectual history, a dream in urgent need of being realized."[27] "Our history is full of attempts—nutty, eerie, comical, earnest, legendary and real—to make artificial intelligences, to reproduce what is the essential us—bypassing the ordinary means. Back and forth between myth and reality, our imaginations supplying what our workshops couldn't, we have engaged for a long time in this odd form of self-reproduction."[28] She traces the desire back to its Hellenistic roots and calls it the urge to "forge the Gods."[29] "Stephen Hawking believes AI could be mankind's last accomplishment". BetaNews. 21 October 2016. Archived from the original on 28 August 2017. Lombardo P, Boehm I, Nairz K (2020). "RadioComics – Santa Claus and the future of radiology". Eur J Radiol. 122 (1): 108771. doi:10.1016/j.ejrad.2019.108771. PMID 31835078. Ford, Martin; Colvin, Geoff (6 September 2015). "Will robots create more jobs than they destroy?". The Guardian. Archived from the original on 16 June 2018. Retrieved 13 January 2018. AI applications widely used behind the scenes: * Russell & Norvig 2003, p. 28 * Kurzweil 2005, p. 265 * NRC 1999, pp. 216–222 * Newquist 1994, pp. 189–201 AI in myth: * McCorduck 2004, pp. 4–5 * Russell & Norvig 2003, p. 939 AI in early science fiction. * McCorduck 2004, pp. 17–25 Formal reasoning: * Berlinski, David (2000). The Advent of the Algorithm. Harcourt Books. ISBN 978-0-15-601391-8. OCLC 46890682. Archived from the original on 26 July 2020. Retrieved 22 August 2020. Turing, Alan (1948), "Machine Intelligence", in Copeland, B. Jack (ed.), The Essential Turing: The ideas that gave birth to the computer age, Oxford: Oxford University Press, p. 412, ISBN 978-0-19-825080-7 Russell & Norvig 2009, p. 16. Dartmouth conference: * McCorduck 2004, pp. 111–136 * Crevier 1993, pp. 47–49, who writes "the conference is generally recognized as the official birthdate of the new science." * Russell & Norvig 2003, p. 17, who call the conference "the birth of artificial intelligence." * NRC 1999, pp. 200–201 McCarthy, John (1988). "Review of The Question of Artificial Intelligence". Annals of the History of Computing. 10 (3): 224–229., collected in McCarthy, John (1996). "10. Review of The Question of Artificial Intelligence". Defending AI Research: A Collection of Essays and Reviews. CSLI., p. 73, "[O]ne of the reasons for inventing the term "artificial intelligence" was to escape association with "cybernetics". Its concentration on analog feedback seemed misguided, and I wished to avoid having either to accept Norbert (not Robert) Wiener as a guru or having to argue with him." Hegemony of the Dartmouth conference attendees: * Russell & Norvig 2003, p. 17, who write "for the next 20 years the field would be dominated by these people and their students." * McCorduck 2004, pp. 129–130 Russell & Norvig 2003, p. 18. Schaeffer J. (2009) Didn't Samuel Solve That Game?. In: One Jump Ahead. Springer, Boston, MA Samuel, A. L. (July 1959). "Some Studies in Machine Learning Using the Game of Checkers". IBM Journal of Research and Development. 3 (3): 210–229. CiteSeerX 10.1.1.368.2254. doi:10.1147/rd.33.0210. "Golden years" of AI (successful symbolic reasoning programs 1956–1973): * McCorduck 2004, pp. 243–252 * Crevier 1993, pp. 52–107 * Moravec 1988, p. 9 * Russell & Norvig 2003, pp. 18–21 The programs described are Arthur Samuel's checkers program for the IBM 701, Daniel Bobrow's STUDENT, Newell and Simon's Logic Theorist and Terry Winograd's SHRDLU. DARPA pours money into undirected pure research into AI during the 1960s: * McCorduck 2004, p. 131 * Crevier 1993, pp. 51, 64–65 * NRC 1999, pp. 204–205 AI in England: * Howe 1994 Lighthill 1973. Expert systems: * ACM 1998, I.2.1 * Russell & Norvig 2003, pp. 22–24 * Luger & Stubblefield 2004, pp. 227–331 * Nilsson 1998, chpt. 17.4 * McCorduck 2004, pp. 327–335, 434–435 * Crevier 1993, pp. 145–62, 197–203 * Newquist 1994, pp. 155–183 Mead, Carver A.; Ismail, Mohammed (8 May 1989). Analog VLSI Implementation of Neural Systems (PDF). The Kluwer International Series in Engineering and Computer Science. 80. Norwell, MA: Kluwer Academic Publishers. doi:10.1007/978-1-4613-1639-8. ISBN 978-1-4613-1639-8. Archived from the original (PDF) on 6 November 2019. Retrieved 24 January 2020. Formal methods are now preferred ("Victory of the neats"): * Russell & Norvig 2003, pp. 25–26 * McCorduck 2004, pp. 486–487 McCorduck 2004, pp. 480–483. Markoff 2011. "Ask the AI experts: What's driving today's progress in AI?". McKinsey & Company. Archived from the original on 13 April 2018. Retrieved 13 April 2018. Administrator. "Kinect's AI breakthrough explained". i-programmer.info. Archived from the original on 1 February 2016. Rowinski, Dan (15 January 2013). "Virtual Personal Assistants & The Future Of Your Smartphone [Infographic]". ReadWrite. Archived from the original on 22 December 2015. "Artificial intelligence: Google's AlphaGo beats Go master Lee Se-dol". BBC News. 12 March 2016. Archived from the original on 26 August 2016. Retrieved 1 October 2016. Metz, Cade (27 May 2017). "After Win in China, AlphaGo's Designers Explore New AI". Wired. Archived from the original on 2 June 2017. "World's Go Player Ratings". May 2017. Archived from the original on 1 April 2017. "柯洁迎19岁生日 雄踞人类世界排名第一已两年" (in Chinese). May 2017. Archived from the original on 11 August 2017. Clark, Jack (8 December 2015). "Why 2015 Was a Breakthrough Year in Artificial Intelligence". Bloomberg News. Archived from the original on 23 November 2016. Retrieved 23 November 2016. After a half-decade of quiet breakthroughs in artificial intelligence, 2015 has been a landmark year. Computers are smarter and learning faster than ever. "Reshaping Business With Artificial Intelligence". MIT Sloan Management Review. Archived from the original on 19 May 2018. Retrieved 2 May 2018. Lorica, Ben (18 December 2017). "The state of AI adoption". O'Reilly Media. Archived from the original on 2 May 2018. Retrieved 2 May 2018. Allen, Gregory (6 February 2019). "Understanding China's AI Strategy". Center for a New American Security. Archived from the original on 17 March 2019. "Review | How two AI superpowers – the U.S. and China – battle for supremacy in the field". Washington Post. 2 November 2018. Archived from the original on 4 November 2018. Retrieved 4 November 2018. at 10:11, Alistair Dabbs 22 Feb 2019. "Artificial Intelligence: You know it isn't real, yeah?". www.theregister.co.uk. Archived from the original on 21 May 2020. Retrieved 22 August 2020. "Stop Calling it Artificial Intelligence". Archived from the original on 2 December 2019. Retrieved 1 December 2019. "AI isn't taking over the world – it doesn't exist yet". GBG Global website. Archived from the original on 11 August 2020. Retrieved 22 August 2020. Kaplan, Andreas; Haenlein, Michael (1 January 2019). "Siri, Siri, in my hand: Who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence". Business Horizons. 62 (1): 15–25. doi:10.1016/j.bushor.2018.08.004. Domingos 2015, Chapter 5. Domingos 2015, Chapter 7. Lindenbaum, M., Markovitch, S., & Rusakov, D. (2004). Selective sampling for nearest neighbor classifiers. Machine learning, 54(2), 125–152. Domingos 2015, Chapter 1. Intractability and efficiency and the combinatorial explosion: * Russell & Norvig 2003, pp. 9, 21–22 Domingos 2015, Chapter 2, Chapter 3. Hart, P. E.; Nilsson, N. J.; Raphael, B. (1972). "Correction to "A Formal Basis for the Heuristic Determination of Minimum Cost Paths"". SIGART Newsletter (37): 28–29. doi:10.1145/1056777.1056779. S2CID 6386648. Domingos 2015, Chapter 2, Chapter 4, Chapter 6. "Can neural network computers learn from experience, and if so, could they ever become what we would call 'smart'?". Scientific American. 2018. Archived from the original on 25 March 2018. Retrieved 24 March 2018. Domingos 2015, Chapter 6, Chapter 7. Domingos 2015, p. 286. "Single pixel change fools AI programs". BBC News. 3 November 2017. Archived from the original on 22 March 2018. Retrieved 12 March 2018. "AI Has a Hallucination Problem That's Proving Tough to Fix". WIRED. 2018. Archived from the original on 12 March 2018. Retrieved 12 March 2018. Matti, D.; Ekenel, H. K.; Thiran, J. P. (2017). Combining LiDAR space clustering and convolutional neural networks for pedestrian detection. 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). pp. 1–6. arXiv:1710.06160. doi:10.1109/AVSS.2017.8078512. ISBN 978-1-5386-2939-0. S2CID 2401976. Ferguson, Sarah; Luders, Brandon; Grande, Robert C.; How, Jonathan P. (2015). Real-Time Predictive Modeling and Robust Avoidance of Pedestrians with Uncertain, Changing Intentions. Algorithmic Foundations of Robotics XI. Springer Tracts in Advanced Robotics. 107. Springer, Cham. pp. 161–177. arXiv:1405.5581. doi:10.1007/978-3-319-16595-0_10. ISBN 978-3-319-16594-3. S2CID 8681101. "Cultivating Common Sense | DiscoverMagazine.com". Discover Magazine. 2017. Archived from the original on 25 March 2018. Retrieved 24 March 2018. Davis, Ernest; Marcus, Gary (24 August 2015). "Commonsense reasoning and commonsense knowledge in artificial intelligence". Communications of the ACM. 58 (9): 92–103. doi:10.1145/2701413. S2CID 13583137. Archived from the original on 22 August 2020. Retrieved 6 April 2020. Winograd, Terry (January 1972). "Understanding natural language". Cognitive Psychology. 3 (1): 1–191. doi:10.1016/0010-0285(72)90002-3. "Don't worry: Autonomous cars aren't coming tomorrow (or next year)". Autoweek. 2016. Archived from the original on 25 March 2018. Retrieved 24 March 2018. Knight, Will (2017). "Boston may be famous for bad drivers, but it's the testing ground for a smarter self-driving car". MIT Technology Review. Archived from the original on 22 August 2020. Retrieved 27 March 2018. Prakken, Henry (31 August 2017). "On the problem of making autonomous vehicles conform to traffic law". Artificial Intelligence and Law. 25 (3): 341–363. doi:10.1007/s10506-017-9210-0. Lieto, Antonio (May 2018). "The knowledge level in cognitive architectures: Current limitations and possible developments". Cognitive Systems Research. 48: 39–55. doi:10.1016/j.cogsys.2017.05.001. hdl:2318/1665207. S2CID 206868967. Problem solving, puzzle solving, game playing and deduction: * Russell & Norvig 2003, chpt. 3–9, * Poole, Mackworth & Goebel 1998, chpt. 2,3,7,9, * Luger & Stubblefield 2004, chpt. 3,4,6,8, * Nilsson 1998, chpt. 7–12 Uncertain reasoning: * Russell & Norvig 2003, pp. 452–644, * Poole, Mackworth & Goebel 1998, pp. 345–395, * Luger & Stubblefield 2004, pp. 333–381, * Nilsson 1998, chpt. 19 Psychological evidence of sub-symbolic reasoning: * Wason & Shapiro (1966) showed that people do poorly on completely abstract problems, but if the problem is restated to allow the use of intuitive social intelligence, performance dramatically improves. (See Wason selection task) * Kahneman, Slovic & Tversky (1982) have shown that people are terrible at elementary problems that involve uncertain reasoning. (See list of cognitive biases for several examples). * Lakoff & Núñez (2000) have controversially argued that even our skills at mathematics depend on knowledge and skills that come from "the body", i.e. sensorimotor and perceptual skills. (See Where Mathematics Comes From) Knowledge representation: * ACM 1998, I.2.4, * Russell & Norvig 2003, pp. 320–363, * Poole, Mackworth & Goebel 1998, pp. 23–46, 69–81, 169–196, 235–277, 281–298, 319–345, * Luger & Stubblefield 2004, pp. 227–243, * Nilsson 1998, chpt. 18 Knowledge engineering: * Russell & Norvig 2003, pp. 260–266, * Poole, Mackworth & Goebel 1998, pp. 199–233, * Nilsson 1998, chpt. ≈17.1–17.4 Representing categories and relations: Semantic networks, description logics, inheritance (including frames and scripts): * Russell & Norvig 2003, pp. 349–354, * Poole, Mackworth & Goebel 1998, pp. 174–177, * Luger & Stubblefield 2004, pp. 248–258, * Nilsson 1998, chpt. 18.3 Representing events and time:Situation calculus, event calculus, fluent calculus (including solving the frame problem): * Russell & Norvig 2003, pp. 328–341, * Poole, Mackworth & Goebel 1998, pp. 281–298, * Nilsson 1998, chpt. 18.2 Causal calculus: * Poole, Mackworth & Goebel 1998, pp. 335–337 Representing knowledge about knowledge: Belief calculus, modal logics: * Russell & Norvig 2003, pp. 341–344, * Poole, Mackworth & Goebel 1998, pp. 275–277 Sikos, Leslie F. (June 2017). Description Logics in Multimedia Reasoning. Cham: Springer. doi:10.1007/978-3-319-54066-5. ISBN 978-3-319-54066-5. S2CID 3180114. Archived from the original on 29 August 2017. Ontology: * Russell & Norvig 2003, pp. 320–328 Smoliar, Stephen W.; Zhang, HongJiang (1994). "Content based video indexing and retrieval". IEEE Multimedia. 1 (2): 62–72. doi:10.1109/93.311653. S2CID 32710913. Neumann, Bernd; Möller, Ralf (January 2008). "On scene interpretation with description logics". Image and Vision Computing. 26 (1): 82–101. doi:10.1016/j.imavis.2007.08.013. Kuperman, G. J.; Reichley, R. M.; Bailey, T. C. (1 July 2006). "Using Commercial Knowledge Bases for Clinical Decision Support: Opportunities, Hurdles, and Recommendations". Journal of the American Medical Informatics Association. 13 (4): 369–371. doi:10.1197/jamia.M2055. PMC 1513681. PMID 16622160. MCGARRY, KEN (1 December 2005). "A survey of interestingness measures for knowledge discovery". The Knowledge Engineering Review. 20 (1): 39–61. doi:10.1017/S0269888905000408. S2CID 14987656. Bertini, M; Del Bimbo, A; Torniai, C (2006). "Automatic annotation and semantic retrieval of video sequences using multimedia ontologies". MM '06 Proceedings of the 14th ACM international conference on Multimedia. 14th ACM international conference on Multimedia. Santa Barbara: ACM. pp. 679–682. Qualification problem: * McCarthy & Hayes 1969 * Russell & Norvig 2003[page needed] While McCarthy was primarily concerned with issues in the logical representation of actions, Russell & Norvig 2003 apply the term to the more general issue of default reasoning in the vast network of assumptions underlying all our commonsense knowledge. Default reasoning and default logic, non-monotonic logics, circumscription, closed world assumption, abduction (Poole et al. places abduction under "default reasoning". Luger et al. places this under "uncertain reasoning"): * Russell & Norvig 2003, pp. 354–360, * Poole, Mackworth & Goebel 1998, pp. 248–256, 323–335, * Luger & Stubblefield 2004, pp. 335–363, * Nilsson 1998, ~18.3.3 Breadth of commonsense knowledge: * Russell & Norvig 2003, p. 21, * Crevier 1993, pp. 113–114, * Moravec 1988, p. 13, * Lenat & Guha 1989 (Introduction) Dreyfus & Dreyfus 1986. Gladwell 2005. Expert knowledge as embodied intuition: * Dreyfus & Dreyfus 1986 (Hubert Dreyfus is a philosopher and critic of AI who was among the first to argue that most useful human knowledge was encoded sub-symbolically. See Dreyfus' critique of AI) * Gladwell 2005 (Gladwell's Blink is a popular introduction to sub-symbolic reasoning and knowledge.) * Hawkins & Blakeslee 2005 (Hawkins argues that sub-symbolic knowledge should be the primary focus of AI research.) Planning: * ACM 1998, ~I.2.8, * Russell & Norvig 2003, pp. 375–459, * Poole, Mackworth & Goebel 1998, pp. 281–316, * Luger & Stubblefield 2004, pp. 314–329, * Nilsson 1998, chpt. 10.1–2, 22 Information value theory: * Russell & Norvig 2003, pp. 600–604 Classical planning: * Russell & Norvig 2003, pp. 375–430, * Poole, Mackworth & Goebel 1998, pp. 281–315, * Luger & Stubblefield 2004, pp. 314–329, * Nilsson 1998, chpt. 10.1–2, 22 Planning and acting in non-deterministic domains: conditional planning, execution monitoring, replanning and continuous planning: * Russell & Norvig 2003, pp. 430–449 Multi-agent planning and emergent behavior: * Russell & Norvig 2003, pp. 449–455 Turing 1950. Solomonoff 1956. Alan Turing discussed the centrality of learning as early as 1950, in his classic paper "Computing Machinery and Intelligence".[120] In 1956, at the original Dartmouth AI summer conference, Ray Solomonoff wrote a report on unsupervised probabilistic machine learning: "An Inductive Inference Machine".[121] This is a form of Tom Mitchell's widely quoted definition of machine learning: "A computer program is set to learn from an experience E with respect to some task T and some performance measure P if its performance on T as measured by P improves with experience E." Learning: * ACM 1998, I.2.6, * Russell & Norvig 2003, pp. 649–788, * Poole, Mackworth & Goebel 1998, pp. 397–438, * Luger & Stubblefield 2004, pp. 385–542, * Nilsson 1998, chpt. 3.3, 10.3, 17.5, 20 Jordan, M. I.; Mitchell, T. M. (16 July 2015). "Machine learning: Trends, perspectives, and prospects". Science. 349 (6245): 255–260. Bibcode:2015Sci...349..255J. doi:10.1126/science.aaa8415. PMID 26185243. S2CID 677218. 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Archived from the original on 11 June 2020. Retrieved 11 June 2020. Machine perception: * Russell & Norvig 2003, pp. 537–581, 863–898 * Nilsson 1998, ~chpt. 6 Speech recognition: * ACM 1998, ~I.2.7 * Russell & Norvig 2003, pp. 568–578 Object recognition: * Russell & Norvig 2003, pp. 885–892 Computer vision: * ACM 1998, I.2.10 * Russell & Norvig 2003, pp. 863–898 * Nilsson 1998, chpt. 6 Robotics: * ACM 1998, I.2.9, * Russell & Norvig 2003, pp. 901–942, * Poole, Mackworth & Goebel 1998, pp. 443–460 Moving and configuration space: * Russell & Norvig 2003, pp. 916–932 Tecuci 2012. Robotic mapping (localization, etc): * Russell & Norvig 2003, pp. 908–915 Cadena, Cesar; Carlone, Luca; Carrillo, Henry; Latif, Yasir; Scaramuzza, Davide; Neira, Jose; Reid, Ian; Leonard, John J. (December 2016). "Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age". IEEE Transactions on Robotics. 32 (6): 1309–1332. arXiv:1606.05830. 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Retrieved 26 April 2018. Domingos 2015. Artificial brain arguments: AI requires a simulation of the operation of the human brain * Russell & Norvig 2003, p. 957 * Crevier 1993, pp. 271 and 279 A few of the people who make some form of the argument: * Moravec 1988 * Kurzweil 2005, p. 262 * Hawkins & Blakeslee 2005 The most extreme form of this argument (the brain replacement scenario) was put forward by Clark Glymour in the mid-1970s and was touched on by Zenon Pylyshyn and John Searle in 1980. Goertzel, Ben; Lian, Ruiting; Arel, Itamar; de Garis, Hugo; Chen, Shuo (December 2010). "A world survey of artificial brain projects, Part II: Biologically inspired cognitive architectures". Neurocomputing. 74 (1–3): 30–49. doi:10.1016/j.neucom.2010.08.012. Nilsson 1983, p. 10. Nils Nilsson writes: "Simply put, there is wide disagreement in the field about what AI is all about."[163] AI's immediate precursors: * McCorduck 2004, pp. 51–107 * Crevier 1993, pp. 27–32 * Russell & Norvig 2003, pp. 15, 940 * Moravec 1988, p. 3 Haugeland 1985, pp. 112–117 The most dramatic case of sub-symbolic AI being pushed into the background was the devastating critique of perceptrons by Marvin Minsky and Seymour Papert in 1969. See History of AI, AI winter, or Frank Rosenblatt. Cognitive simulation, Newell and Simon, AI at CMU (then called Carnegie Tech): * McCorduck 2004, pp. 139–179, 245–250, 322–323 (EPAM) * Crevier 1993, pp. 145–149 Soar (history): * McCorduck 2004, pp. 450–451 * Crevier 1993, pp. 258–263 McCarthy and AI research at SAIL and SRI International: * McCorduck 2004, pp. 251–259 * Crevier 1993 AI research at Edinburgh and in France, birth of Prolog: * Crevier 1993, pp. 193–196 * Howe 1994 AI at MIT under Marvin Minsky in the 1960s : * McCorduck 2004, pp. 259–305 * Crevier 1993, pp. 83–102, 163–176 * Russell & Norvig 2003, p. 19 Cyc: * McCorduck 2004, p. 489, who calls it "a determinedly scruffy enterprise" * Crevier 1993, pp. 239–243 * Russell & Norvig 2003, p. 363−365 * Lenat & Guha 1989 Knowledge revolution: * McCorduck 2004, pp. 266–276, 298–300, 314, 421 * Russell & Norvig 2003, pp. 22–23 Frederick, Hayes-Roth; William, Murray; Leonard, Adelman. "Expert systems". AccessScience. doi:10.1036/1097-8542.248550. Embodied approaches to AI: * McCorduck 2004, pp. 454–462 * Brooks 1990 * Moravec 1988 Weng et al. 2001. Lungarella et al. 2003. Asada et al. 2009. Oudeyer 2010. Revival of connectionism: * Crevier 1993, pp. 214–215 * Russell & Norvig 2003, p. 25 Computational intelligence * IEEE Computational Intelligence Society Archived 9 May 2008 at the Wayback Machine Hutson, Matthew (16 February 2018). "Artificial intelligence faces reproducibility crisis". Science. pp. 725–726. Bibcode:2018Sci...359..725H. doi:10.1126/science.359.6377.725. Archived from the original on 29 April 2018. Retrieved 28 April 2018. Norvig 2012. Langley 2011. Katz 2012. The intelligent agent paradigm: * Russell & Norvig 2003, pp. 27, 32–58, 968–972 * Poole, Mackworth & Goebel 1998, pp. 7–21 * Luger & Stubblefield 2004, pp. 235–240 * Hutter 2005, pp. 125–126 The definition used in this article, in terms of goals, actions, perception and environment, is due to Russell & Norvig (2003). Other definitions also include knowledge and learning as additional criteria. Agent architectures, hybrid intelligent systems: * Russell & Norvig (2003, pp. 27, 932, 970–972) * Nilsson (1998, chpt. 25) Hierarchical control system: * Albus 2002 Lieto, Antonio; Lebiere, Christian; Oltramari, Alessandro (May 2018). "The knowledge level in cognitive architectures: Current limitations and possibile developments". Cognitive Systems Research. 48: 39–55. doi:10.1016/j.cogsys.2017.05.001. hdl:2318/1665207. S2CID 206868967. Lieto, Antonio; Bhatt, Mehul; Oltramari, Alessandro; Vernon, David (May 2018). "The role of cognitive architectures in general artificial intelligence". Cognitive Systems Research. 48: 1–3. doi:10.1016/j.cogsys.2017.08.003. hdl:2318/1665249. S2CID 36189683. Russell & Norvig 2009, p. 1. White Paper: On Artificial Intelligence - A European approach to excellence and trust (PDF). Brussels: European Commission. 2020. p. 1. Archived (PDF) from the original on 20 February 2020. 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"Social media 'outstrips TV' as news source for young people". BBC News. Archived from the original on 24 June 2016. Smith, Mark (22 July 2016). "So you think you chose to read this article?". BBC News. Archived from the original on 25 July 2016. Brown, Eileen. "Half of Americans do not believe deepfake news could target them online". ZDNet. Archived from the original on 6 November 2019. Retrieved 3 December 2019. The Turing test: Turing's original publication: * Turing 1950 Historical influence and philosophical implications: * Haugeland 1985, pp. 6–9 * Crevier 1993, p. 24 * McCorduck 2004, pp. 70–71 * Russell & Norvig 2003, pp. 2–3 and 948 Dartmouth proposal: * McCarthy et al. 1955 (the original proposal) * Crevier 1993, p. 49 (historical significance) The physical symbol systems hypothesis: * Newell & Simon 1976, p. 116 * McCorduck 2004, p. 153 * Russell & Norvig 2003, p. 18 Dreyfus 1992, p. 156. Dreyfus criticized the necessary condition of the physical symbol system hypothesis, which he called the "psychological assumption": "The mind can be viewed as a device operating on bits of information according to formal rules."[206] Dreyfus' critique of artificial intelligence: * Dreyfus 1972, Dreyfus & Dreyfus 1986 * Crevier 1993, pp. 120–132 * McCorduck 2004, pp. 211–239 * Russell & Norvig 2003, pp. 950–952, Gödel 1951: in this lecture, Kurt Gödel uses the incompleteness theorem to arrive at the following disjunction: (a) the human mind is not a consistent finite machine, or (b) there exist Diophantine equations for which it cannot decide whether solutions exist. Gödel finds (b) implausible, and thus seems to have believed the human mind was not equivalent to a finite machine, i.e., its power exceeded that of any finite machine. He recognized that this was only a conjecture, since one could never disprove (b). Yet he considered the disjunctive conclusion to be a "certain fact". The Mathematical Objection: * Russell & Norvig 2003, p. 949 * McCorduck 2004, pp. 448–449 Making the Mathematical Objection: * Lucas 1961 * Penrose 1989 Refuting Mathematical Objection: * Turing 1950 under "(2) The Mathematical Objection" * Hofstadter 1979 Background: * Gödel 1931, Church 1936, Kleene 1935, Turing 1937 Graham Oppy (20 January 2015). "Gödel's Incompleteness Theorems". Stanford Encyclopedia of Philosophy. Archived from the original on 22 April 2016. Retrieved 27 April 2016. These Gödelian anti-mechanist arguments are, however, problematic, and there is wide consensus that they fail. Stuart J. Russell; Peter Norvig (2010). "26.1.2: Philosophical Foundations/Weak AI: Can Machines Act Intelligently?/The mathematical objection". Artificial Intelligence: A Modern Approach (3rd ed.). Upper Saddle River, NJ: Prentice Hall. ISBN 978-0-13-604259-4. even if we grant that computers have limitations on what they can prove, there is no evidence that humans are immune from those limitations. Mark Colyvan. An introduction to the philosophy of mathematics. Cambridge University Press, 2012. From 2.2.2, 'Philosophical significance of Gödel's incompleteness results': "The accepted wisdom (with which I concur) is that the Lucas-Penrose arguments fail." Iphofen, Ron; Kritikos, Mihalis (3 January 2019). "Regulating artificial intelligence and robotics: ethics by design in a digital society". Contemporary Social Science: 1–15. doi:10.1080/21582041.2018.1563803. ISSN 2158-2041. "Ethical AI Learns Human Rights Framework". Voice of America. Archived from the original on 11 November 2019. Retrieved 10 November 2019. Crevier 1993, pp. 132–144. In the early 1970s, Kenneth Colby presented a version of Weizenbaum's ELIZA known as DOCTOR which he promoted as a serious therapeutic tool.[216] Joseph Weizenbaum's critique of AI: * Weizenbaum 1976 * Crevier 1993, pp. 132–144 * McCorduck 2004, pp. 356–373 * Russell & Norvig 2003, p. 961 Weizenbaum (the AI researcher who developed the first chatterbot program, ELIZA) argued in 1976 that the misuse of artificial intelligence has the potential to devalue human life. Wendell Wallach (2010). Moral Machines, Oxford University Press. Wallach, pp 37–54. Wallach, pp 55–73. Wallach, Introduction chapter. Michael Anderson and Susan Leigh Anderson (2011), Machine Ethics, Cambridge University Press. "Machine Ethics". aaai.org. Archived from the original on 29 November 2014. Rubin, Charles (Spring 2003). "Artificial Intelligence and Human Nature". The New Atlantis. 1: 88–100. Archived from the original on 11 June 2012. Brooks, Rodney (10 November 2014). 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[230] Strong AI is defined similarly by Russell & Norvig (2003, p. 947): "The assertion that machines could possibly act intelligently
givgramacho
Quantum computing is one the most promising new trends in information processing. In this course, we will introduce from scratch the basic concepts of the quantum circuit model (qubits, gates and measures) and use them to study some of the most important quantum algorithms and protocols, including those that can be implemented with a few qubits (BB84, quantum teleportation, superdense coding...) as well as those that require multi-qubit systems (Deutsch-Jozsa, Grover, Shor..). We will also cover some of the most recent applications of quantum computing in the fields of optimization and simulation (with special emphasis on the use of quantum annealing, the quantum approximate optimization algorithm and the variational quantum eigensolver) and quantum machine learning (for instance, through the use of quantum support vector machines and quantum variational classifiers). We will also give examples of how these techniques can be used in chemistry simulations and high energy physics problems. The focus of the course will be on the practical aspects of quantum computing and on the implementation of algorithms in quantum simulators and actual quantum computers (as the ones available on the IBM Quantum Experience and D-Wave Leap). No previous knowledge of quantum physics is required and, from the mathematical point of view, only a good command of basic linear algebra is assumed. Some familiarity with the python programming language would be helpful, but is not required either.
Aryia-Behroziuan
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Archived (PDF) from the original on 4 September 2013. Retrieved 4 June 2013 – via msu.edu. "Applications of AI". www-formal.stanford.edu. Archived from the original on 28 August 2016. Retrieved 25 September 2016. Further reading DH Author, 'Why Are There Still So Many Jobs? The History and Future of Workplace Automation' (2015) 29(3) Journal of Economic Perspectives 3. Boden, Margaret, Mind As Machine, Oxford University Press, 2006. Cukier, Kenneth, "Ready for Robots? How to Think about the Future of AI", Foreign Affairs, vol. 98, no. 4 (July/August 2019), pp. 192–98. George Dyson, historian of computing, writes (in what might be called "Dyson's Law") that "Any system simple enough to be understandable will not be complicated enough to behave intelligently, while any system complicated enough to behave intelligently will be too complicated to understand." (p. 197.) Computer scientist Alex Pentland writes: "Current AI machine-learning algorithms are, at their core, dead simple stupid. They work, but they work by brute force." (p. 198.) Domingos, Pedro, "Our Digital Doubles: AI will serve our species, not control it", Scientific American, vol. 319, no. 3 (September 2018), pp. 88–93. Gopnik, Alison, "Making AI More Human: Artificial intelligence has staged a revival by starting to incorporate what we know about how children learn", Scientific American, vol. 316, no. 6 (June 2017), pp. 60–65. Johnston, John (2008) The Allure of Machinic Life: Cybernetics, Artificial Life, and the New AI, MIT Press. Koch, Christof, "Proust among the Machines", Scientific American, vol. 321, no. 6 (December 2019), pp. 46–49. Christof Koch doubts the possibility of "intelligent" machines attaining consciousness, because "[e]ven the most sophisticated brain simulations are unlikely to produce conscious feelings." (p. 48.) According to Koch, "Whether machines can become sentient [is important] for ethical reasons. If computers experience life through their own senses, they cease to be purely a means to an end determined by their usefulness to... humans. Per GNW [the Global Neuronal Workspace theory], they turn from mere objects into subjects... with a point of view.... Once computers' cognitive abilities rival those of humanity, their impulse to push for legal and political rights will become irresistible – the right not to be deleted, not to have their memories wiped clean, not to suffer pain and degradation. The alternative, embodied by IIT [Integrated Information Theory], is that computers will remain only supersophisticated machinery, ghostlike empty shells, devoid of what we value most: the feeling of life itself." (p. 49.) Marcus, Gary, "Am I Human?: Researchers need new ways to distinguish artificial intelligence from the natural kind", Scientific American, vol. 316, no. 3 (March 2017), pp. 58–63. A stumbling block to AI has been an incapacity for reliable disambiguation. An example is the "pronoun disambiguation problem": a machine has no way of determining to whom or what a pronoun in a sentence refers. (p. 61.) E McGaughey, 'Will Robots Automate Your Job Away? Full Employment, Basic Income, and Economic Democracy' (2018) SSRN, part 2(3) Archived 24 May 2018 at the Wayback Machine. George Musser, "Artificial Imagination: How machines could learn creativity and common sense, among other human qualities", Scientific American, vol. 320, no. 5 (May 2019), pp. 58–63. Myers, Courtney Boyd ed. (2009). "The AI Report" Archived 29 July 2017 at the Wayback Machine. Forbes June 2009 Raphael, Bertram (1976). The Thinking Computer. W.H.Freeman and Company. ISBN 978-0-7167-0723-3. Archived from the original on 26 July 2020. Retrieved 22 August 2020. Scharre, Paul, "Killer Apps: The Real Dangers of an AI Arms Race", Foreign Affairs, vol. 98, no. 3 (May/June 2019), pp. 135–44. "Today's AI technologies are powerful but unreliable. Rules-based systems cannot deal with circumstances their programmers did not anticipate. Learning systems are limited by the data on which they were trained. AI failures have already led to tragedy. Advanced autopilot features in cars, although they perform well in some circumstances, have driven cars without warning into trucks, concrete barriers, and parked cars. In the wrong situation, AI systems go from supersmart to superdumb in an instant. When an enemy is trying to manipulate and hack an AI system, the risks are even greater." (p. 140.) Serenko, Alexander (2010). "The development of an AI journal ranking based on the revealed preference approach" (PDF). Journal of Informetrics. 4 (4): 447–459. doi:10.1016/j.joi.2010.04.001. Archived (PDF) from the original on 4 October 2013. Retrieved 24 August 2013. Serenko, Alexander; Michael Dohan (2011). "Comparing the expert survey and citation impact journal ranking methods: Example from the field of Artificial Intelligence" (PDF). Journal of Informetrics. 5 (4): 629–649. doi:10.1016/j.joi.2011.06.002. Archived (PDF) from the original on 4 October 2013. Retrieved 12 September 2013. Sun, R. & Bookman, L. (eds.), Computational Architectures: Integrating Neural and Symbolic Processes. Kluwer Academic Publishers, Needham, MA. 1994. Tom Simonite (29 December 2014). "2014 in Computing: Breakthroughs in Artificial Intelligence". MIT Technology Review. Tooze, Adam, "Democracy and Its Discontents", The New York Review of Books, vol. LXVI, no. 10 (6 June 2019), pp. 52–53, 56–57. "Democracy has no clear answer for the mindless operation of bureaucratic and technological power. We may indeed be witnessing its extension in the form of artificial intelligence and robotics. Likewise, after decades of dire warning, the environmental problem remains fundamentally unaddressed.... Bureaucratic overreach and environmental catastrophe are precisely the kinds of slow-moving existential challenges that democracies deal with very badly.... Finally, there is the threat du jour: corporations and the technologies they promote." (pp. 56–57.)
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SpreadCoin October 5, 2014 Introduction In proof-of-work cryptocurrencies new coins are generated by the network through the process of mining. One of the purposes of mining is to protect network from double spending attacks and history rewriting. Miners generate new blocks and check contents of the blocks generated by other peers for conformation to the network rules. However, many miners now delegate all the checking work crucial to cryptocurrency security to pools. This means that pool operators do not have any large hashing power but have control over generation of new blocks. This brings unnecessary centralization to otherwise decentralized system. Controlling more than 50% of mining power allows to perform double-spending attacks with 100% chance of success but even with less than 50% control it is possible to perform attacks which have chances to succeed1 . The core idea of SpreadCoin is to prevent creation of pools and thus make mining more decentralized and the whole system more secure. Pool Prevention In pooled mining miners perform only the work which is necessary to fulfill the proof-of-work requirements and pools take care of block generation and broadcasting and distribute reward among miners according to the shares they submit. In this scheme miner has two alternatives: 1. Solo mining. In this case miner cannot send shares to the pool because they will not be accepted. 2. Pooled mining. Miner’s shares will be accepted by the pool but in the case miner will actually generate a new block its reward will go to the pool which will redistribute it to all miners. This allows organization of pools because miners has no way to cheat and steal generated money. To prevent creation of pools we must remove this possibility so that if pool will be created than miner can mine in a pool, submit shares as usual and get reward for them but in the case of actually finding a block miner can send it directly to the network instead of the pool and get full reward for it. In SpreadCoin mining is organized in such way that miner must know the following things: 1. Private key corresponding to the coinbase transaction. 2. Whole block, not only its header. This ensures that miner can broadcast mined block and spend coins generated in that block. It may seem that it is necessary to know only the private key to spend coinbase transaction. If two conflicting transactions will appear on the network then the one that was broadcasted first will have much higher probability to be included in a block because each peer remembers and retransmits only the first one of the conflicting transactions. If both miner and pool know private key but only pool knows the content of the block than pool can generate and broadcast spending transaction earlier than miner. If both miner 1 Double-spending. Bitcoin Wiki. https://en.bitcoin.it/wiki/Double-spending and pool know content of the block than miner will be the first one who can broadcast block and spending transaction. To prove knowledge of the private key and whole block there are two new fields in the block header: MinerSignature and hashWholeBlock. MinerSignature is a digital signature of all fields of the block header except for the hashWholeBlock. Changing any information in the block requires regeneration of this signature which means that it is necessary to recalculate it during each iteration of the mining process. This implies that miner must be able to sign any arbitrary data. hashWholeBlock is a SHA-256 hash of the block data arranged as follows: Padding ensures that there is no incentive to mine empty blocks without transactions. Padding values are computed using simple algorithm which initializes last 32 bytes (8 uint32) with hashPrevBlock and then goes backward and computes remaining uint32 values using the following recursive formula: 𝐼𝑖 = 𝐼𝑖+3 ∙ 𝐼𝑖+7. This algorithm ensures that there is no efficient way to compute padding values on the fly during hash computation which otherwise could potentially give some advantage to mine empty blocks in certain computing environments. It is important that block is hashed twice. If it was hashed only once then pool could hash the beginning of the block and send resulting hash state to the miners. Each miner would then modify some information in the end of the block and recalculate the hash based on the known state without actual knowledge about what is contained in the beginning of the block. Appending block data to itself make it necessary to know the whole block to recalculate hashWholeBlock. Pool may detect and ban cheating miners. However, many miners may still prefer to cheat so that pool will be completely unusable for honest miners. Miners that have low probability of finding a block will get more profit by stealing reward for accidentally found block even if pool will ban them thereafter. Miners that have enough mining power to find blocks consistently can still connect to a pool and submit shares for some time but steal the first found block. This way they can get both reward for their shares and the actual mined block. Given all this it is expected that no one will create a pool. But even if someone will than it can be countered by releasing stealing miner software which many miners will switch to. Compact Transactions SpreadCoin as well as Bitcoin uses ECDSA signatures. Each address in Bitcoin is a hash of an ECDSA public key. To spend coins sent to an address it is necessary to provide public key matching to that hash and a signature. This results in 139 or 107 bytes for each transaction input script (scriptSig) depending on Block Padding MAX_BLOCK_SIZE Block Padding whether compact public key is used. However, it is possible to recover public key from the signature2 which means that it is not necessary to provide it in transaction input. Together with using compact representation of the signature3 it allows to reduce size of transaction input script from 139 or 107 bytes in Bitcoin to 67 bytes in SpreadCoin. Recovering public key has almost no extra CPU cost compared to the usual signature verification process used in Bitcoin. This is important because the CPU cost of ECDSA signature verification is a bottleneck for Bitcoin transaction processing. Usual output script (scriptPubKey) in Bitcoin looks as follows: OP_DUP OP_HASH160 5bd18804e4bb43a4bb8b6bc88408970bafaf4a38 OP_EQUALVERIFY OP_CHECKSIG In SpreadCoin the semantics of the OP_CHECKSIG instruction was changed to checking signature by hash of the public key (it recovers public key and compares its hash with the provided one). This results in a much simpler script in SpreadCoin: 5bd18804e4bb43a4bb8b6bc88408970bafaf4a38 OP_CHECKSIG This results in additional minor space saving because this script is 3 bytes smaller. Smooth Supply Block reward in Bitcoin is computed using the following formula: 𝑅ℎ = 𝑅0 ∙ 2 −⌊ ℎ 𝑝 ⌋ , where ℎ – block height, 𝑝 – reward halving period, 𝑅0 – initial reward, 𝑅ℎ – reward for block ℎ, ⌊ ⌋ – floor function. This method results in abrupt reward changes near halving points. SpreadCoin uses simple linear interpolation between halving points to make reward decrease much smother. This is achieved by modifying reward using the following formula: 𝑅ℎ ′ = 4 3 (𝑅ℎ − 𝑅ℎ ∙ ℎ mod 𝑝 2𝑝 ). SpreadCoin uses 𝑝 = 2 ∙ 106 as its reward halving period. 2 ECDSA Signatures allow recovery of the public key. Bitcoin Forum. https://bitcointalk.org/?topic=6430.0%29%3F 3 Why the signature is always 65 (1+32+32) bytes long? Bitcoin Stack Exchange. https://bitcoin.stackexchange.com/questions/12554/why-the-signature-is-always-65-13232-bytes-long | NO YEAR 2106 PROBLEM The time stamp field in the block header is now 64 bit instead of 32 bit (Bitcoin) so that much farther date times are possible (>Year 2106) Upcoming features that are in development and will be introduced over the next weeks and months: SERVICENODES A servicenode is a node which runs continuously (24/7) on a server and which provides services within the spreadcoin network. You have to pay a collateral to be able to install a servernode (in return your servicenode will earn a steady income). This collateral is determined by a free market price discovery. (No fix collateral. The price is allowed to fluctuate over time.) COMPETITIVE COLLATERAL Furthermore, to introduce a competitive nature to the servicenodes there will only ever be a limited number of allowed servicenodes worldwide. Since the collateral isn't set in stone, but the amount of servicenodes is fixed, the price of a servicenode will be determined by the participants themselves. It is expected that the price will vary widely over time, which exposes it to the same market forces that hashrate and currency value are exposed to too. SERVICE APPS There are a number of decentralized applications that will run on servicenodes. Most likely those apps will include: 1) "Spread the message" (an in-wallet encrypted messaging system, which allows you to send a message to an SPR address) 2) "Spread the Search" (A decentralized search engine that lets the servicenodes crawl and map the entire internet.) . SPREADX11 SpreadX11 is different from plain X11 by introducing a sophisticated pool prevention mechanism. With SpreadX11 every block header contains additional information (MinerSignature and hashWholeBlock). With the help of this information the protocol ensures that the miner of a new block is always also the first one to know the content of the whole block and the private key to spend the coinbase transaction. (contrary to pool mining where the pool operator is the first one to know those things) So when a miner finds a block, he must himself sign and transmit the block to the network (like solo mining), instead of having a pool handle this for him. This effectively prevents pools by making their rules non-enforceable, since any miner in any assumed pool can always just steal the block reward instead of following the rules set up by the pool. COMPACT TRANSACTIONS SpreadCoin uses a more compact representation for signatures in transactions. SpreadCoin as well as Bitcoin uses ECDSA signatures. While bitcoin keeps a copy of the public key of the corresponding signature around, SpreadCoin ommits this by recovering the public key on the fly directly from the signature. This way it is not necessary to keep the public key of every ECDSA signature in the blockchain, so this leads to *smaller transactions and hence a smaller blockchain (at the cost of a few CPU cycles more). (*reduction in size of transaction from 139 or 107 bytes in Bitcoin to 67 bytes in SpreadCoin.) SMOOTH HALVING Unlike Bitcoin, there are no abrupt reward halvings in SpreadCoin. Block reward is smoothly decreasing over time. UNIQUE DESIGN WITH IN-WALLET VANITYGEN One of the first apps to be built into the wallet is the vanity generator (or vanity gen) which allows anyone to create personalised payment addresses. The easy to use wallet lets you search through trillions of payment addresses allowing you to find one or multiple vanity addresses, which are then stored safely along with the private keys on your own computer - and nowhere else. Searching using the vanity gen is probabilistic, so the amount of time required to find your chosen address patterns depends on how complex the pattern is, the speed of your computer, and a little bit of luck. You can use the vanity gen for a bit of fun, to make your address standout from the crowd or to create a link to a brand, business or other organisation. You can even search for addresses that others might be willing to buy from you. SpreadCoin is a new cryptocurrency which is more decentralized than Bitcoin. It prevents centralization of hashing power in pools, which is one of the main concerns of Bitcoin security. SpreadCoin was fairly launched on 29 July 2014, 9:00 UTC with no premine.
mdxedia
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Cryptoaj-hack
Decentralized Finance (DeFi) Development Services & Solutions Eliminate the role of a middleman by availing decentralized finance (DEFI) development services & solutions. Get access to the major financial services through a blockchain network and experience the benefits of automation, a higher level of security, anonymity, interoperability, and transparency. Our wide range of services include Market-Making Consulting We take immense efforts in establishing financial markets that understand the customers’ proprietary algorithms. We aim at improving the access of liquidity to investors and democratize the whole system. We render customized features according to the customer’s expected return on investment. Decentralized Crypto Banking We ensure a frictionless user experience by facilitating the direct transfer of value between the involved parties supported by decentralization. Our ready-to-launch white-label mobile payment apps render a variety of services such as wallet integration, value holding, and detailed transactional analysis. Defi Lottery System Development We provide a no-loss lottery system that benefits our participants completely. We take steps to eliminate the custodianship of the pooled capital. We permit investing your capital in other related dapps and distribute the rewards in form of a major share of the interest earned to a winner randomly selected by the smart contracts. We assure the regular flow of returns. Derivatives Over Defi Platform We ensure seamless access to derivatives and maximize your earning potential by many notches. by establishing robust dapps, we enable traders to hedge their portfolio of investments and minimize risks by directly engaging with their peers through a democratic platform. We are experts in derivatives market-making and Dapp platform development. Decentralized Fund Management All your crypto assets will be managed to yield high performance in a decentralized exchange through smart control and management. with in-depth experience in investment exchanges along with our strong knowledge of defi, we render our services at low fees and avoid potential risks. Defi Insurance System Development We ensure that there are no risks present in our smart contract. With our robust provision of insurance services, we assure you that there will be no chance of uncontrollable liquidity requests. We contain futuristic risks, uncertainties, and emergencies through lucrative insurance deals. Defi Yield Farming Platform Development Yield farming refers to the technique through which one can earn more cryptocurrencies by using his existing holding of cryptos. Liquidity providers play a vital role in the success of yield farming. They stake their assets in liquidity pools and facilitate trading in cryptos by creating a market. Defi Staking Platform Development Defi staking involves a mechanism where crypto assets will be staked on a supported wallet or exchange and passive income will be earned. The rewards can be calculated based on the quantity of staked assets, the staking duration, inflation rate, and the network issuance rate. Defi Lending Platform Development Defi lending platforms have been made popular by the likes of aave and compound. The basic features of a defi lending platform include flash loan facilities, a fiat payment gateway, and an exclusive margin trading facility, the advantages of defi lending include high immutability, better transparency, quick access, and resistance to transaction censorship. Defi Smart Contract Development One of the pivotal reasons behind the tremendous growth of defi services is due to the heavy investments made in robust defi smart contract development. They are created with the solidity programming language, highly encrypted, and automates the tasks to be executed based on certain pre-set terms and conditions. Defi Dapp Development Defi Dapp development plays a critical role to avoid the risk of a central point of failure. They are highly secure when compared to centralized applications due to the absence of a central authority. Defi Tokens Development Defi tokens development has played a critical role in boosting the growth of decentralized applications. Their value is currently higher than bitcoin. it has a huge trading volume and has garnered a lot of attention from the mainstream crowd in recent times. Defi Dex Development Like Uniswap Uniswap is one of the leading defi projects being undertaken. It is an innovative venture as it utilizes incentivized liquidity pools instead of regular order books. every user of uni swap will is rewarded with a percentage of fees incurred on every ethereum transaction for rendering liquidity to the system. Defi Wallet Development Traders will have complete control over their funds through defi wallet development without the interference of any authorities in the system. Supreme security is guaranteed for users without any compromise. By supplying customized private keys to every user, there will not be any chances for any loss of data. DeFi Marketing Services To assist DeFi projects gain user engagement, marketing services are indispensable.From drafting white paper, video and content marketing, to legal advisory, marketing and community management, our DeFi marketing and consulting services are well-versed to get the job done. DeFi Synthetic Asset Development Synthetic assets derive their value from underlying assets and derivatives which are essentially smart contracts. In DeFi, Synthetic assets have gained acclaim as they involve low risks and little chance of price fluctuations. Users can easily invest, trade, and own assets with no hassles. DeFi Solutions For Ecommerce Streamline your Ecommerce business with DeFi and its pragmatic tools. With DeFi’s solutions , benefits like omission of intermediaries, faster shipping, supply chain management, and real time tracking can be integrated with your Ecommerce business, increasing profits. DeFi Tokenization Development Tokenization Development is one of the pragmatic solutions DeFi offers. Users can now convert inoperative and underutilized assets into great profits by simply tokenizing their assets. With our DeFi tokenization, avail of ERC20, ERC721 & NFT tokens for your assets. DeFi Crowdfunding Platform Development Although a relatively new sector, DeFi crowdfunding has become the go-to mode of aggregating funds to support businesses and start-ups. Our DeFi Crowdfunding platform services come with additional benefits in the likes of tax benefits, instant approval, fundraising calendars and more. DeFi Real Estate Platform Development DeFi has revolutionized the ways of real estate management. Now real estate owners and investors, with the help of blockchain based tokens, can make property investment seamless and manageable. With fractional ownership, financial inclusivity is now possible. DeFi ICO Development One of the leading fundraising methods, DeFi ICO services are distinguished. Creating utile tokens, community management, escalating coin value, and launching projects with diligence & guidance from market analysts and blockchain experts is inclusive of our ICO Development. DeFi Exchange Development Offering users a plethora of apparent benefits, DEXs are the prized innovation of DeFi. Offering high-end security, durable liquidity, complete anonymity and financial inclusivity, DEXs make trading and transacting crypto accessible and lucrative for crypto enthusiasts. DeFi Protocol Like Yearn. Finance Yearn. Finance offers the best APY the market has to offer by referring to popular exchanges. This protocol offers its users the best yields in a highly secure network. With in-built smart contracts and an open source code, it supports a range of Stablecoins offering huge returns. DeFi Protocol Like AAve The DeFi protocol Aave offers crypto traders a robust platform for lending and borrowing of crypto for which they earn high interests. The highlight feature of Aave - Flash loans and flexible interest rates make it a profitable platform for crypto traders. DeFi Exchange Like 1inch 1inch exchange now has the reputation of being the DEX offering users the lowest slippage. As an aggregator, 1inch connects several exchanges to one platform in a non-custodial ecosystem. With governance and farming features, trading on 1inch remains prominent.
zqx951102
Our paper, Knowledge-Based Systems , "Learning Adaptive Shift and Task Decoupling for Discriminative One-Step Person Search"
mlimarenko
One-click knowledge system for documents, internal bots, and AI agents
nima0011
# Contributing to this repository <!-- omit in toc --> ## Getting started <!-- omit in toc --> Before you begin: - This site is powered by Node.js. Check to see if you're on the [version of node we support](contributing/development.md). - Have you read the [code of conduct](CODE_OF_CONDUCT.md)? - Check out the [existing issues](https://github.com/github/docs/issues) & see if we [accept contributions](#types-of-contributions-memo) for your type of issue. ### Use the 'make a contribution' button  Navigating a new codebase can be challenging, so we're making that a little easier. As you're using docs.github.com, you may come across an article that you want to make an update to. You can click on the **make a contribution** button right on that article, which will take you to the file in this repo where you'll make your changes. Before you make your changes, check to see if an [issue exists](https://github.com/github/docs/issues/) already for the change you want to make. ### Don't see your issue? Open one If you spot something new, open an issue using a [template](https://github.com/github/docs/issues/new/choose). We'll use the issue to have a conversation about the problem you want to fix. ### Ready to make a change? Fork the repo Fork using GitHub Desktop: - [Getting started with GitHub Desktop](https://docs.github.com/en/desktop/installing-and-configuring-github-desktop/getting-started-with-github-desktop) will guide you through setting up Desktop. - Once Desktop is set up, you can use it to [fork the repo](https://docs.github.com/en/desktop/contributing-and-collaborating-using-github-desktop/cloning-and-forking-repositories-from-github-desktop)! Fork using the command line: - [Fork the repo](https://docs.github.com/en/github/getting-started-with-github/fork-a-repo#fork-an-example-repository) so that you can make your changes without affecting the original project until you're ready to merge them. Fork with [GitHub Codespaces](https://github.com/features/codespaces): - [Fork, edit, and preview](https://docs.github.com/en/free-pro-team@latest/github/developing-online-with-codespaces/creating-a-codespace) using [GitHub Codespaces](https://github.com/features/codespaces) without having to install and run the project locally. ### Make your update: Make your changes to the file(s) you'd like to update. Here are some tips and tricks for [using the docs codebase](#working-in-the-githubdocs-repository). - Are you making changes to the application code? You'll need **Node.js v14** to run the site locally. See [contributing/development.md](contributing/development.md). - Are you contributing to markdown? We use [GitHub Markdown](contributing/content-markup-reference.md). ### Open a pull request When you're done making changes and you'd like to propose them for review, use the [pull request template](#pull-request-template) to open your PR (pull request). ### Submit your PR & get it reviewed - Once you submit your PR, others from the Docs community will review it with you. The first thing you're going to want to do is a [self review](#self-review). - After that, we may have questions, check back on your PR to keep up with the conversation. - Did you have an issue, like a merge conflict? Check out our [git tutorial](https://lab.github.com/githubtraining/managing-merge-conflicts) on how to resolve merge conflicts and other issues. ### Your PR is merged! Congratulations! The whole GitHub community thanks you. :sparkles: Once your PR is merged, you will be proudly listed as a contributor in the [contributor chart](https://github.com/github/docs/graphs/contributors). ### Keep contributing as you use GitHub Docs Now that you're a part of the GitHub Docs community, you can keep participating in many ways. **Learn more about contributing:** - [Types of contributions :memo:](#types-of-contributions-memo) - [:mega: Discussions](#mega-discussions) - [:beetle: Issues](#beetle-issues) - [:hammer_and_wrench: Pull requests](#hammer_and_wrench-pull-requests) - [:question: Support](#question-support) - [:earth_asia: Translations](#earth_asia-translations) - [:balance_scale: Site Policy](#balance_scale-site-policy) - [Starting with an issue](#starting-with-an-issue) - [Labels](#labels) - [Opening a pull request](#opening-a-pull-request) - [Working in the github/docs repository](#working-in-the-githubdocs-repository) - [Reviewing](#reviewing) - [Self review](#self-review) - [Pull request template](#pull-request-template) - [Suggested changes](#suggested-changes) - [Windows](#windows) ## Types of contributions :memo: You can contribute to the GitHub Docs content and site in several ways. This repo is a place to discuss and collaborate on docs.github.com! Our small, but mighty :muscle: docs team is maintaining this repo, to preserve our bandwidth, off topic conversations will be closed. ### :mega: Discussions Discussions are where we have conversations. If you'd like help troubleshooting a docs PR you're working on, have a great new idea, or want to share something amazing you've learned in our docs, join us in [discussions](https://github.com/github/docs/discussions). ### :beetle: Issues [Issues](https://docs.github.com/en/github/managing-your-work-on-github/about-issues) are used to track tasks that contributors can help with. If an issue has a triage label, we haven't reviewed it yet and you shouldn't begin work on it. If you've found something in the content or the website that should be updated, search open issues to see if someone else has reported the same thing. If it's something new, open an issue using a [template](https://github.com/github/docs/issues/new/choose). We'll use the issue to have a conversation about the problem you want to fix. ### :hammer_and_wrench: Pull requests A [pull request](https://docs.github.com/en/github/collaborating-with-issues-and-pull-requests/about-pull-requests) is a way to suggest changes in our repository. When we merge those changes, they should be deployed to the live site within 24 hours. :earth_africa: To learn more about opening a pull request in this repo, see [Opening a pull request](#opening-a-pull-request) below. ### :question: Support We are a small team working hard to keep up with the documentation demands of a continuously changing product. Unfortunately, we just can't help with support questions in this repository. If you are experiencing a problem with GitHub, unrelated to our documentation, please [contact GitHub Support directly](https://support.github.com/contact). 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For anything else, see [the CONTRIBUTING guide in the site-policy repo](https://github.com/github/site-policy/blob/main/CONTRIBUTING.md). ## Starting with an issue You can browse existing issues to find something that needs help! ### Labels Labels can help you find an issue you'd like to help with. - The [`help wanted` label](https://github.com/github/docs/issues?q=is%3Aopen+is%3Aissue+label%3A%22help+wanted%22) is for problems or updates that anyone in the community can start working on. - The [`good first issue` label](https://github.com/github/docs/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22) is for problems or updates we think are ideal for beginners. - The [`content` label](https://github.com/github/docs/issues?q=is%3Aopen+is%3Aissue+label%3Acontent) is for problems or updates in the content on docs.github.com. 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For content changes, make sure that you: - [ ] Confirm that the changes address every part of the content design plan from your issue (if there are differences, explain them). - [ ] Review the content for technical accuracy. - [ ] Review the entire pull request using the [localization checklist](contributing/localization-checklist.md). - [ ] Copy-edit the changes for grammar, spelling, and adherence to the style guide. - [ ] Check new or updated Liquid statements to confirm that versioning is correct. - [ ] Check that all of your changes render correctly in staging. Remember, that lists and tables can be tricky. - [ ] If there are any failing checks in your PR, troubleshoot them until they're all passing. ### Pull request template When you open a pull request, you must fill out the "Ready for review" template before we can review your PR. This template helps reviewers understand your changes and the purpose of your pull request. ### Suggested changes We may ask for changes to be made before a PR can be merged, either using [suggested changes](https://docs.github.com/en/github/collaborating-with-issues-and-pull-requests/incorporating-feedback-in-your-pull-request) or pull request comments. You can apply suggested changes directly through the UI. You can make any other changes in your fork, then commit them to your branch. As you update your PR and apply changes, mark each conversation as [resolved](https://docs.github.com/en/github/collaborating-with-issues-and-pull-requests/commenting-on-a-pull-request#resolving-conversations). ## Windows This site can be developed on Windows, however a few potential gotchas need to be kept in mind: 1. Regular Expressions: Windows uses `\r\n` for line endings, while Unix based systems use `\n`. Therefore when working on Regular Expressions, use `\r?\n` instead of `\n` in order to support both environments. The Node.js [`os.EOL`](https://nodejs.org/api/os.html#os_os_eol) property can be used to get an OS-specific end-of-line marker. 1. Paths: Windows systems use `\` for the path separator, which would be returned by `path.join` and others. You could use `path.posix`, `path.posix.join` etc and the [slash](https://ghub.io/slash) module, if you need forward slashes - like for constructing URLs - or ensure your code works with either. 1. Bash: Not every Windows developer has a terminal that fully supports Bash, so it's generally preferred to write [scripts](/script) in JavaScript instead of Bash.
Preschool evaluation is crucial because it gives teachers and parents influential knowledge about children's growth and development. The COVID-19 pandemic has highlighted the necessity of online assessment for preschool children. One of the areas that should be tested is their ability to speak. Employing an Automatic Speech Recognition (ASR) system would not help since they are pre-trained on voices that differ from children's in terms of frequency and amplitude. Because most of these are pre-trained with data in a specific range of amplitude, their objectives do not make them ready for voices in different amplitudes. To overcome this issue, we added a new objective to the masking objective of the Wav2Vec 2.0 model called Random Frequency Pitch (RFP). In addition, we used our newly introduced dataset to fine-tune our model for Meaningless Words (MW) and Rapid Automatic Naming (RAN) tests. Using masking in concatenation with RFP outperforms the masking objective of Wav2Vec 2.0 by reaching a Word Error Rate (WER) of 1.35. Our new approach reaches a WER of 6.45 on the Persian section of the CommonVoice dataset. Furthermore, our novel methodology produces positive outcomes in zero- and few-shot scenarios.
SwedbankAB
employee benefits swedbank The bank does not apply a variable remuneration system with discretionary pension benefits. Bank officials can borrow up to SEK 2 million at this special price. Employee benefits seb Health and benefits SEB. Work at a bank. The greatest lesson was personal knowledge. You follow up defined key figures for the customer and take action if necessary. The benefit varies in value, but the interest rates on the bank employees' mortgages are generally very low. Cookies are used, among other things, to save your settings, analyze how you surf and adapt content to suit you. Swedbank and the savings banks new partners to Samsung Pay Companies in major change towards customer contact via telephone and internet. We may start the selection during the application period and welcome your application as soon as possible. How long does the hiring process take, from first interview to employment, at Swedbank? Large workplace with many colleagues, very work-related discussions. Apply for a loan! Met customers every day, had fun with colleagues. IT MEDIA GROUP AB. Every time a project was finished and started, I felt a satisfaction and joy to have been involved in developing something new and important. The bank has employee benefits that employees can take advantage of. Next. Expenditure categories: milita…, Internal Consultant with Excel, Access and MS-Project, Project Manager Event Sponsorship Marketing Department. Right now, a super low 0.04 percent mortgage interest rate is offered for three-month loans. Huge Selectio. We offer you a stimulating workplace that provides valuable experience from various projects in fintech. I worked in a large team, which I enjoyed very much. Contractual pension. Apply no later than today. their significantly lower costs. Employees have ample opportunities for work rotation which contributes towards personal development and provides opportunities to try new areas of work. At Uniflex, we see our employees as our most important asset and therefore we offer • Collective agreements • Occupational pension • Wellness allowance and other employee benefits • Insurance • Market salary • Career and development We are constantly looking for new colleagues who work in agreement with our guiding stars business focus, commitment, joy and responsibility. employee benefits, which are stated in the instruction. 1 5 10 15 20 SEB SIXRX 29.4 -5.7 3.6 9.7 10.4 26.7 8.0 5.9 12.1 13.4 www.seb.se 9% 14% of total assets of total assets ABB is a leader in power and automation technology. Desktop Menu Toggle. Today, Söderberg & Partners 2017's best performing players in the Swedish financial industry. Expenditures: $ 50,000,000,000,000.00 ICA Bank - Employee Benefits Personal Finance. As a customer advisor, you will answer calls and provide service to private individuals. Employment contract Once you have received your employment contract, it is important that you check that all information is correct. Those who work at Swedbank get the very best conditions. A typical working day was to work both independently and have meetings with colleagues. The job was a challenge but also fun and stimulating. Employees have ample opportunities for work rotation which contributes towards personal development and provides opportunities to try new areas of work. Our Design Hub is located in the heart of Swedbank's modern head office. Work experience. Söderberg & Every year, Partners releases a sustainability analysis of the largest pension companies. In the role of Key Account Manager, you are commercially responsible for the main agreement, which means responsibility for negotiating the main agreement, coordinating business issues and business agreements, updating the agreement in the event of a change and anchoring with the contact persons. Clearing number is the number that identifies the bank and branch to which an account belongs. MENU MENU. That is why we like to see female applicants. Mainly internet. great opportunities to advance in your career. There are some benefits that are tax-free, such as staff care benefits. Variable compensation means compensation that is not determined in advance to Do you want a really low mortgage rate? Variable remuneration to employees and its purpose The Bank's operations are carried out by salaried employees who may have variable remuneration in addition to salary. At Swedbank, there is security and the opportunity to try new things in a stable environment with development opportunities and good employee benefits. Our Design Hub, together with the digital bank's management, business and developer, is located in the heart of Swedbank's modern head office in Sundbyberg. If you do not know the name, ask your HR-department. It is a wonderful and motivating work climate with good staff benefits as wellness allowance. Relatively high workload with stimulating tasks. Benify offers you instant access to your world of employee benefits, rewards and much more. Söderberg & Partner funds have changed their name. Personnel bikes work to help employers provide their employees with benefit bikes in a simple and safe way - something that can be financially beneficial for employers and employees. Your total budget for this promotion is kr85.7…, Gdp: $ 900,450,320,120,900,800.00 Wednesday's announcement is the end for Handelsbanken as we know it. Has taught me to work with various Swedbank's computer programs. Liked everything and everyone at Swedbank, thought everything was fun. CEO, editor-in-chief and responsible publisher: Anna Careborg, Editors and Acting responsible publishers: Maria Rimpi and Martin Ahlquist, Postal address Svenska Dagbladet, 105 17 Stockholm, Subscription matters and e-mail to customer serviceSubscription matters and e-mail to customer service. If you have more than one account (for example, an employee of several companies), you first need to fill in the company name. Benify privately. . In order for us to be able to create a sustainable society for everyone who lives, visits and works in Huddinge, you as an employee are the most important thing we have. Created a poorer work environment by reducing staff, as well as bonus systems. We may start the selection during the application period and welcome your application as soon as possible. If you were to leave Swedbank, what is the primary reason? Since Swedbank was formed about 8 years ago, the focus has been on a completely new bank based on customer contacts via digital channels. Trygghetsförvaltning has changed its name to Proaktiv Förvaltning. It is said that Google to take an SMS loan that grants SMS loans with in the US has been interested, but there to be indebted already at the beginning of its in the future. New report: Pension companies increasingly sustainable. The good reputation spreads, which gives more applications per ad and reduces the need for. These are stated in the bank's established employee benefits, where it is also stated any criteria for issuing the benefit. SvD Näringsliv has taken a closer look at what the conditions look like. 6.5 Severance pay Sparbanken shall ensure that compensation paid to an employee in connection with In December 2016, we announced that a name change would take place as a result of the Swedish Consumer Agency's statement on the Security Administration, there. If you have any questions, you are always welcome to contact us. 6.4 Contractual pension Pension benefits are paid in accordance with law and agreements. Those who work at Swedbank get the very best conditions. Ambea for me salary specification. With personnel loans, super interest rates are offered to all bank employees. Otherwise, they were very instructive. How flexible is Swedbank with working hours and working remotely? Söderberg & Partners - Hållbarhetsrapporten Pensionsbolag 2016. A typical working day was that you came to work at the same times of the day, picked up your work box that you had received from the bank with all your things in, then sat down at any computer table, logged in to computer, opened all the programs to work with and began receiving calls and emails. But the benefit taxation means that it is not quite as good as it first seems. Swedbank and more Swedish banks Clearing number is the number that identifies the bank and the branch to which an account belongs. At the bank, I learned an incredible amount. Flexible working hours are applied. Anxious work environment where everything talked between colleagues concerns how long you can keep your job. Working at ABB gives you an opportunity to contribute to a more prosperous and sustainable world. Apply. ; ‚] Ú ÏÃÎG; ùÄ £ ÷ ä› ÿÃÉ — Îþúêîîê'ÿ "ÿéêêîˆ97› Ò ¥ “2nú & ó $;› t'Ó & á. Customer and employee satisfaction is always on top of the agenda. Are you used to working with complexes sales and has a strong business and customer focus? booked via customer service. Good benefits. Contractual pension The bank does not apply a variable remuneration system with discretionary pension benefits. Then you are the Key Account Manager we are looking for at PayEx! \\ n \\ n Background: \\ n \\ nPayEx is a company with two business areas, PayEx. Swedbank Hypotek AB, 556003-3283 - At allabolag.se you will find, financial statements, key figures, group, group tree, board, Status no less than 24 lenders do it and you pay a fee. Today, they can take out mortgages at 0.04 percent interest. The funds that were previously called Trygghet have now changed their name to Proaktiv, but the services remain the same. The results are based on Söderberg & Partners' annual traffic light report, which contains analyzes of the entire Swedish savings market and is compiled to keep savers informed about how the providers of financial services and products perform. Flashback Forum 46,947 visitors online. Employee benefits according to instruction 12.1.1 3. They stay longer, are more committed and more likely to see themselves as ambassadors for your employer brand. Here you will find - who is employed or affiliated with us - information and routines regarding common personnel-related issues at CLINTEC. Welcome to your benefits portal! employee benefits, which are stated in the instruction. Today, they can take out mortgages at 0.04 percent interest. The tasks only included telephone sales, which meant that I lacked more customer contact. Today, Söderberg & Partners launches a third sustainability report, this time to demonstrate what funds' sustainability work looks like. Holiday work gives you a chance to earn your own money, at the same time as you gain valuable experience for the future. Generous staff prices, a healthy lifestyle and safe conditions. The bank has employee benefits that employees can take advantage of. Here you will find vacancies in the Danske Bank Group. Mercer has extensive experience in designing employee benefits from a strategic perspective. Healthy and able to work… then get a responsibility like this management of ours. Employee benefits Competitive employee benefits. But the benefit taxation means that it is not quite as good as it first seems. Good and innovative company that I would really recommend working in. Customer in focus is always a matter of course. Year 9 is prioritized. Prerequisites for getting holiday work is that you have applied on time, are registered in the municipality. 6.4 Contractual pension Pension benefits are paid in accordance with law and agreements. If something is to change, you must notify us as soon as possible. If your employer pays a private cost of living for you, it is a benefit and you must pay tax on the benefit. E-mail: info@itmediagroup.se Demolish the pyramids! is a book for anyone who is or has a boss. It has been hailed by Bill Clinton and is course literature at Harvard. It has been sold in more than 50 countries and has been called the most important event in Swedish leadership. Benefits. window.SvD.ads.queue.push (function () {Application. Change bank if you want a lower fee. Salary type: Fixed monthly, weekly or hourly salary. WHO ARE YOU? The benefit is normally valued at its market value but in some cases is PayEx is looking for an ambitious Key Account Manager for its sales team. \\ nDo you want to work with an expansive and innovative company in invoice management and financing? • Wellness grants and other employee benefits • Insurance • Market salary • Career and development We are constantly looking for new colleagues who work in accordance with our values business focus, commitment, joy and responsibility. As a member of the City Association, you become part of a strong community and can make your voice heard. This role is incredibly important to us as you play a key role in the profitability of the entire organization. öÉ'¯ù [™ ûóçŸýã´ = û¯ “ïÿõóϾ ± ü Ï? Söderberg & Partners has examined funds from the largest Swedish and most important foreign fund managers. Swedbank is no longer a local bank close to customers. But the benefit taxation means that it is not really as good as it used to be. Those who work at Swedbank get the very best conditions. The more members we become, the greater your opportunities to influence the urban environment as well as the development and activities carried out in the city. Scope / Duration: Full time / Until further notice. The work environment is very friendly cooperative and respectful. ASSEMBLY: SVD. Awesome. Staff / HR at CLINTEC. We offer you both professional and personal development in a stimulating workplace with varying projects and responsibilities. Apply no later than 23 May (4 months 18 days left) Published: 2021-04-19. Hotel staff - 100%. Welcome to us in Mjölby municipality. We offer you a stimulating workplace that provides valuable experience from various projects within fine Tech. Read more about cookies. Swedbank and more Swedish banks. Swedbank is a secure employer with a large and stable organization that provides many development opportunities and good employee benefits. . Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or. Medvind is an internal system for employees at Ambea. Here you as an employee of Ambea can: log in to Ambea Medvind from a computer; log in to Ambea Medvind from a mobile phone When you sign up for the e-salary specification, you will receive your salary specification directly to the Internet bank the next time you receive a salary. Today, they can take out mortgages at 0.04 percent interest. IT MEDIA GROUP AB. Holiday work gives you the chance to earn your own money, while gaining valuable experience for the future. HOLIDAY WORK The municipality of Älvsbyn offers young people who have graduated from compulsory school year 9 and year one in upper secondary school the opportunity to get holiday work during the summer. Development, Community, Education, Loyalty. Good benefits, good development opportunities. All banks have staff terms on mortgages. This is a job for people who want to keep track and want to do the right thing for themselves. Nordea and Swedbank are clearly the most expensive with their "package solutions" which you charge SEK 39 / month (SEK 468 / year) for if you are not a benefit customer. Trygghetsförvaltning has changed its name to Proaktiv Förvaltning. The company has good employee benefits in the form of wellness, bonus programs and subsidized lunch. . For an attractive city center. As an employee of SEB, you have access to a number of benefits,. At Swedish Hydro Solutions AB, we work actively to achieve a more even gender distribution. Our Design Hub is located in the heart of Swedbank's modern head office. Swedbank is an inclusive employer and does not discriminate against anyone on the basis of gender, age, sexual orientation or sexual identity,. Phone: +46 8 501 370 53.. Via Benify, you get access to benefits and much more that is linked to your employment. Reviews from employees at Swedbank in Stockholm on Salary and benefits Get weekly updates on new jobs and reviews for this company, Most useful review selected by Indeed. You also get a mentor and access to our range of employee benefits. ACCOUNTING Menu Toggle. These are stated in the bank's established employee benefits, where it is also stated any criteria for issuing the benefit. Phone: +46 8 501 370 53. Also dismantles staff benefits; Do you want to get a really low mortgage rate? Good Employer, with great knowledge and people who support each other. What kind of questions were asked during your interview at Swedbank? On a regular day, it is full of customers and varying tasks. We use cookies for swedbank.se and the internet bank to function in a good way. With personnel loans, super interest rates are offered to all bank employees. Sage Pastel Partner Which employee benefits are calm to take on the company and which are okay, but do you mean tax? For the right person, good development opportunities are offered. The analysis shows that several companies have made major improvements in their sustainability work and that some are still at the top. At Swedbank, there is security and the opportunity to try new things in a stable environment with development opportunities and good employee benefits. Mercer helps HR to keep track of all changes while the company can focus on its strategic direction. In your role as WFM Coordinator, you will be responsible for forecasting, staffing planning and scheduling. Engage employees anywhere, anytime. Our community is ready to respond. Like most other companies, we have employee benefits. Welcome to Helsingborg City. Phone: +46 8 501 370 53. Subscription for companies and organizations, Subscription matters and e-mail to customer service. HOME; SOLUTIONS Menu Toggle. Work at a bank. Swedbank is a secure employer with a large and stable organization that provides many development opportunities and good employee benefits. We offer you a stimulating workplace that provides valuable experience from various projects in fintech. Contractual pension. Work at a bank. Now our customer E.ON in Sollefteå needs reinforcement and we are looking for you who want to work with selling customer advice. . }); Do you want to get a really low mortgage rate? ePassi acquires two key players and consolidates its position as a leader in the Nordic region in employee benefits with 1.5 million users. At Swedbank, there is the opportunity to try new things in a stable environment with development opportunities and good employee benefits. Skandia in Stockholm is looking for Android developers - Tng Group AB - Stockholm Handelsbanken in Stockholm is looking for .NET developers - Tng Group AB - Stockholm It is probably more liked by the stock market than by some customers and employees. Söderberg & Partners' funds have changed their name. Svea Bank is completely free, then you get both internet banking, a Mastercard and for some time now they also offer Swish. Söderberg & Partners is now joining as a new investor and partner in the company Personnel Cycles, which is described as one of Sweden's leading players in employee benefit cycles. The bank has employee benefits that employees can take advantage of. Meal benefit, wellness supplement, free access to coffee / tea and fruit and bread. Swedbank as a whole is a good and secure employer. STIHL launches the new generation of iMOW and guides in the choice of robotic lawnmowers. Year 9 is prioritized. Prerequisites for getting holiday work is that you have applied on time, are registered in the municipality. 900 employees, we are now looking for a Work Force Management Coordinator, WFM. E-mail: info@itmediagroup.se We want you. Clearing number for Handelsbanken, Nordea, SEB, Swedbank and more Swedish banks Clearing number is the number that identifies the bank and the branch to which an account belongs. 5. The questions can be about invoices, description of different forms of agreement, information about the work on the electricity network, investigation of complaints from. A lot of paperwork, planning and similar tasks. Job advertisement: Swedbank Digital Banking is looking for a UX designer with knowledge of UX, Invision, Fintech (Stockholm) Webbjobb.io uses cookies to help us make the website better. Companies must be listed. Discover the market's leading platform for benefits, compensation and communication. Camping Sölvesborg Sweden Rock , Depreciation Tenancy , Admentum Login Prolympia , Johan Forssell Moderaterna , Hormonplitor Baby 5 Weeks , Behavioral Science, Komvux ,
Artificial Intelligence and Machine Learning have empowered our lives to a large extent. The number of advancements made in this space has revolutionized our society and continue making society a better place to live in. In terms of perception, both Artificial Intelligence and Machine Learning are often used in the same context which leads to confusion. AI is the concept in which machine makes smart decisions whereas Machine Learning is a sub-field of AI which makes decisions while learning patterns from the input data. In this blog, we would dissect each term and understand how Artificial Intelligence and Machine Learning are related to each other. What is Artificial Intelligence? The term Artificial Intelligence was recognized first in the year 1956 by John Mccarthy in an AI conference. In layman terms, Artificial Intelligence is about creating intelligent machines which could perform human-like actions. AI is not a modern-day phenomenon. In fact, it has been around since the advent of computers. The only thing that has changed is how we perceive AI and define its applications in the present world. The exponential growth of AI in the last decade or so has affected every sphere of our lives. Starting from a simple google search which gives the best results of a query to the creation of Siri or Alexa, one of the significant breakthroughs of the 21st century is Artificial Intelligence. The Four types of Artificial Intelligence are:- Reactive AI – This type of AI lacks historical data to perform actions, and completely reacts to a certain action taken at the moment. It works on the principle of Deep Reinforcement learning where a prize is awarded for any successful action and penalized vice versa. Google’s AlphaGo defeated experts in Go using this approach. Limited Memory – In the case of the limited memory, the past data is kept on adding to the memory. For example, in the case of selecting the best restaurant, the past locations would be taken into account and would be suggested accordingly. Theory of Mind – Such type of AI is yet to be built as it involves dealing with human emotions, and psychology. Face and gesture detection comes close but nothing advanced enough to understand human emotions. Self-Aware – This is the future advancement of AI which could configure self-representations. The machines could be conscious, and super-intelligent. Two of the most common usage of AI is in the field of Computer Vision, and Natural Language Processing. Computer Vision is the study of identifying objects such as Face Recognition, Real-time object detection, and so on. Detection of such movements could go a long way in analyzing the sentiments conveyed by a human being. Natural Language Processing, on the other hand, deals with textual data to extract insights or sentiments from it. From ChatBot Development to Speech Recognition like Amazon’s Alexa or Apple’s Siri all uses Natural Language to extract relevant meaning from the data. It is one of the widely popular fields of AI which has found its usefulness in every organization. One other application of AI which has gained popularity in recent times is the self-driving cars. It uses reinforcement learning technique to learn its best moves and identify the restrictions or blockage in front of the road. Many automobile companies are gradually adopting the concept of self-driving cars. What is Machine Learning? Machine Learning is a state-of-the-art subset of Artificial Intelligence which let machines learn from past data, and make accurate predictions. Machine Learning has been around for decades, and the first ML application that got popular was the Email Spam Filter Classification. The system is trained with a set of emails labeled as ‘spam’ and ‘not spam’ known as the training instance. Then a new set of unknown emails is fed to the trained system which then categorizes it as ‘spam’ or ‘not spam.’ All these predictions are made by a certain group of Regression, and Classification algorithms like – Linear Regression, Logistic Regression, Decision Tree, Random Forest, XGBoost, and so on. The usability of these algorithms varies based on the problem statement and the data set in operation. Along with these basic algorithms, a sub-field of Machine Learning which has gained immense popularity in recent times is Deep Learning. However, Deep Learning requires enormous computational power and works best with a massive amount of data. It uses neural networks whose architecture is similar to the human brain. Machine Learning could be subdivided into three categories – Supervised Learning – In supervised learning problems, both the input feature and the corresponding target variable is present in the dataset. Unsupervised Learning – The dataset is not labeled in an unsupervised learning problem i.e., only the input features are present, but not the target variable. The algorithms need to find out the separate clusters in the dataset based on certain patterns. Reinforcement Learning – In this type of problems, the learner is rewarded with a prize for every correct move, and penalized for every incorrect move. The application of Machine Learning is diversified in various domains like Banking, Healthcare, Retail, etc. One of the use cases in the banking industry is predicting the probability of credit loan default by a borrower given its past transactions, credit history, debt ratio, annual income, and so on. In Healthcare, Machine Learning is often been used to predict patient’s stay in the hospital, the likelihood of occurrence of a disease, identifying abnormal patterns in the cell, etc. Many software companies have incorporated Machine Learning in their workflow to steadfast the process of testing. Various manual, repetitive tasks are being replaced by machine learning models. Comparison Between AI and Machine Learning Machine Learning is the subset of Artificial Intelligence which has taken the advancement in AI to a whole new level. The thought behind letting the computer learn from themselves and voluminous data that are getting generated from various sources in the present world has led to the emergence of Machine Learning. In Machine Learning, the concept of neural networks plays a significant role in allowing the system to learn from themselves as well as maintaining its speed, and accuracy. The group of neural nets lets a model rectifying its prior decision and make a more accurate prediction next time. Artificial Intelligence is about acquiring knowledge and applying them to ensure success instead of accuracy. It makes the computer intelligent to make smart decisions on its own akin to the decisions made by a human being. The more complex the problem is, the better it is for AI to solve the complexity. On the other hand, Machine Learning is mostly about acquiring knowledge and maintaining better accuracy instead of success. The primary aim is to learn from the data to automate specific tasks. The possibilities around Machine Learning and Neural Networks are endless. A set of sentiments could be understood from raw text. A machine learning application could also listen to music, and even play a piece of appropriate music based on a person’s mood. NLP, a field of AI which has made some ground-breaking innovations in recent years uses Machine Learning to understand the nuances in natural language and learn to respond accordingly. Different sectors like banking, healthcare, manufacturing, etc., are reaping the benefits of Artificial Intelligence, particularly Machine Learning. Several tedious tasks are getting automated through ML which saves both time and money. Machine Learning has been sold these days consistently by marketers even before it has reached its full potential. AI could be seen as something of the old by the marketers who believe Machine Learning is the Holy Grail in the field of analytics. The future is not far when we would see human-like AI. The rapid advancement in technology has taken us closer than ever before to inevitability. The recent progress in the working AI is much down to how Machine Learning operates. Both Artificial Intelligence and Machine Learning has its own business applications and its usage is completely dependent on the requirements of an organization. AI is an age-old concept with Machine Learning picking up the pace in recent times. Companies like TCS, Infosys are yet to unleash the full potential of Machine Learning and trying to incorporate ML in their applications to keep pace with the rapidly growing Analytics space. Conclusion The hype around Artificial Intelligence and Machine Learning are such that various companies and even individuals want to master the skills without even knowing the difference between the two. Often both the terms are misused in the same context. To master Machine Learning, one needs to have a natural intuition about the data, ask the right questions, and find out the correct algorithms to use to build a model. It often doesn’t requiem how computational capacity. On the other hand, AI is about building intelligent systems which require advanced tools and techniques and often used in big companies like Google, Facebook, etc. There is a whole host of resources to master Machine Learning and AI. The Data Science blogs of Dimensionless is a good place to start with. Also, There are Online Data Science Courses which cover the various nitty gritty of Machine Learning.
uttkarshparmar50
1-Project Title “Library Management System (L_I_B_R_A)” The “Library Management System” has been developed to override the problems prevailing in the practicing manual system. This software is supported to eliminate and in some cases reduce the hardship faced by this existing system. Moreover this system is designed for the particular need of the institution to carry out operating in a smooth and effective manner. 2-Domain Library management institutional management non-profitable organization. 3-Problem of Statement In our existing system all the transaction of books are done manually, so taking more time for a transaction like borrowing a book or returning a book and also for searching of member and books. Another major disadvantage is that to preparing the list of book borrowed and the available book in the library will take more time, currently it is doing as a day process for verifying all records. So after conducting he feasibility study we decided to make the manual library management system to be computerised. Proposed system is an automated library management system. Through our software user can add member, edit information, borrow and return books in quick time. Some of the problems being faced in faced in manual system are as follows: • Fast report generation is not possible. • Tracing a book is difficult. • Information about issue/return of the books is not properly maintained. • No central database can be created as information is not available in database. All the manual difficulty in managing the Library have been rectified by implementing computerization. This application is reduced as much as possible to avoid errors while entering the data. It also provides error message while entering invalid data. No, formal knowledge is needed for the user to use this system. Thus by this all it is user-friendly. Library Management System as described above can lead error free, secure, reliable and fast management system. It can assist the user to concentrate on other activities rather to concentrate on the record keeping. Thus it will help organisation in better utilization of resources. So that’s why I can choose this topic to make it simple. is a sub-discipline of issues faced by libraries and library management professionals. Library management encompasses normal managerial tasks, as well as intellectual that focuses on specific freedom and fundraising responsibilities. Issues faced in library management frequently overlap with those faced in managing Title: L_I_B_R_A Page 5 of 16 TMU-CCSIT Version 1. 4-Project Description The software to be produced is on Library Management System. A library card will also be provided to the customers who visit daily. A person can also borrow the book for particular days. All the information will be entered in the system. If the person doesn’t return the due book. Admin has the authority to add, delete or modify the details of the book available to/from the system. He also has the authority to provide username and password for the receptionist. He can also add the details of the book purchased from shops along with the shop name. Project plan Requirement Design Process description implementation STATE DIAGRAM : LIBRARIAN OBJECT Title: L_I_B_R_A Page 6 of 16 TMU-CCSIT Version 1. 4.1-Scope of the Work This project is helpful to track all the book and library information and to rate the maximum number of books, the students wished to allot books. The software will be able to handle all the necessary information related to the library. From a librarian perspective, the Library Management System Project enhanced searchable database for the search books, managing library members, issuing and receiving books . • Search Books, Managing Library Members, Issuing and Receiving Books: An enhanced atomized system is developed to maintain Books, Authors, Issuing and Receiving Books and maintain the history of transaction. • To utilize resources in an efficient manner by increasing their productivity through automation. • It satisfies the user requirement. Title: L_I_B_R_A Page 7 of 16 TMU-CCSIT Version 1. 4.2-Project Modules • Books: This module consist the details of the books available in library and their categories. Title: L_I_B_R_A Page 8 of 16 TMU-CCSIT Version 1. • Member Account details To issue an book from the library, one should have a account in the library. The registration contains all the details about the member like registration number, name, address, contact number etc.. • Book Request: This module is used by the member to request a book from the library. The search can be performed by using name of the book, author name, and subject name. Title: L_I_B_R_A Page 9 of 16 TMU-CCSIT Version 1. • Issue of books: This module is used by the librarian to issue a book based on the request made by the members. • Returning Books: In this module the librarian maintains the details of the books returned by the member, which also includes the fine details, damage book details, lost book details. • History: In this module the member can view the details about the previous issued books, requested books and returned books etc. • Reports: This module includes the details about the issued books, returned books, member reports, fine reports, or any damage to the book or details of the book which are not returned. Title: L_I_B_R_A Page 10 of 16 TMU-CCSIT Version 1. 5-Implementation Methodology In this I am trying to give an Idea of “How I can implement the library management system” . FUNCTIONAL DECOMPOSITION OF LIBRARY MANAGEMENT SYSTEM CLASS DIAGRAM OF LIBRARY MANAGEMENT SYSTEM Title: L_I_B_R_A Page 11 of 16 TMU-CCSIT Version 1. DFD OF LIBRARY MANAGEMENT SYSTEM ER DIAGRAM OF LIBRARY MANAGEMENT SYSYTEM Title: L_I_B_R_A Page 12 of 16 TMU-CCSIT Version 1. DATABASE OF LIBRARY MANAGEMENT SYSTEM Title: L_I_B_R_A Page 13 of 16 TMU-CCSIT Version 1. 6-Technologies to be used 6.1 -Software Platform a) Front-end ----python (3.8) ----tk-inter (GUI) b) Back-end -----sqlite (database) 6.2 -Hardware Platform RAM — 8 GB Hard Disk — not used OS — Mac OS (Mojave-10.14.6) Editor — idle (Available with python package) Processor — 1.8 GHz intel core i5 6.3 -Tools No tool used. 7-Advantages of this Project Our proposed system has the following advantages. User friendly interface Fast access to database Less error More storage capacity Search facility Look and feel environment Quick transaction 8-Future Scope and further enhancement of the Project o In future we can make this application online so that members will be able to search the book from any places as well as can send book request. o Book reading facility can be provided through on-line. o In the area of data security and system security. o Provide more online tips and help. o Implementation of ISBN BAR code reader Title: L_I_B_R_A Page 14 of 16 TMU-CCSIT Version 1. 9-Project Repository Location S# Project Artifacts (softcopy) Location Verified by Project Guide Verified by Lab In-Charge 1. Project Synopsis Report (Final Version) https://s.docworkspace.com/d/AEsSC- 7eqLpR6Z6S_OSdFA Tushar mehrotra Name and Signature 2. Project Progress updates Name and Signature Name and Signature 3. Project Requirement specifications Name and Signature Name and Signature 4. Project Report (Final Version) Name and Signature Name and Signature 5. Test Repository Name and Signature Name and Signature 6. Any other document, give details Name and Signature Name and Signature 10-Team Details Project Name Course Name Student ID Student Name Role Signature LIBRARY MANAGEMENT SYSTEM INDUSTRIAL TRAINING(PYTHON) (ECS 509) TCA1809026 UTTKARSH PARMAR Developer 11-Conclusion “Library Management System” allows the user to store the book details and the customer details. This software package allows storing the details of all the data related to library. The system is strong enough to withstand regressive yearly operations under conditions where the Title: L_I_B_R_A Page 15 of 16 TMU-CCSIT Version 1. database is maintained and cleared over a certain time of span. The implementation of the system in the organization will considerably reduce data entry, time and also provide readily calculated reports. 12-References • Website http://www.wikipedia.com http://www.sololearn.com And also my mentor from Ducat (Noida) • Book Python-basic-handbook ( writer- vivek Krishnamoorthy, jay Parmar, mario pisa pena)
swatijha2496
Face is most commonly used biometric to recognize people. Face recognition has received substantial attention from researchers due to human activities found in various applications of security like airport, criminal detection, face tracking, forensic etc. Compared to other biometric traits like palm print, Iris, finger print etc., face biometrics can be non-intrusive. They can be taken even without user’s knowledge and further can be used for security based applications like criminal detection, face tracking, airport security, and forensic surveillance systems. Face recognition involves capturing face image from a video or from a surveillance camera. They are compared with the stored database. Face biometrics involves training known images, classify them with known classes and then they are stored in the database. When a test image is given to the system it is classified and compared with stored database. Face biometrics is a challenging field of research with various limitations imposed for a machine face recognition like variations in head pose, change in illumination, facial expression, aging, occlusion due to accessories etc.,. Various approaches were suggested by researchers in overcoming the limitations stated. 72 Automatic face recognition involves face detection, feature extraction and face recognition. Face recognition algorithms are broadly classified into two classes as image template based and geometric feature based. The template based methods compute correlation between face and one or more model templates to find the face identity. Principal component analysis, linear discriminate analysis, kernel methods etc. are used to construct face templates. The geometric feature based methods are used to analyze explicit local features and their geometric relations (elastic bung graph method). Multi resolution tools such as contour lets, ridge lets were found to be useful for analyzing information content of images and found its application in image processing, pattern recognition, and computer vision. Curvelets transform is used for texture classification and image de-noising. Application of Curvelets transform for feature extraction in image processing is still under research.
mitulmanish
You are required to implement a basic Java program using Java (SE 5.0 or later). This assignment is designed to help you: 1. Practise your knowledge of class design in Java; 2. Practise the implementation of different kinds of OO constructs in Java; 3. Practise the use of polymorphism; 4. Practise error handling in Java; 5. Develop a reasonable sized application in Java. General Implementation Details All input data should be read from the standard input and all output data should be printed to the standard output. Do not use files at all. If the input is formatted incorrectly, that input should be ignored and an appropriate error message should be displayed. Marks will be allocated to your class design. You are required to modularise classes properly---i.e., to use multiple methods as appropriate. No method should be longer than 50 lines. Marks will be allocated to proper documentation and coding layout and style. Your coding style should be consistent with standard coding conventions . Overall Specification You will build out the system from Assignment 1 to manage multiple users purchasing different types of items, including discounts for multiple items. Items to be Purchased The TechStore has been extended to sell Software as well as Books. Like Books, Software can be sold as a (physical) CD or as an online item (i.e., download). As in Assignment 1, a Book can also be sold as a physical copy or as an ebook. You need to keep track of the physical copies of Books and CDs, and whether or not a title is available as an online item. Books have a title and an author; Software items have a title and a publisher. Each item is individually priced---i.e., the price depends on the title and whether it is a physical copy or ebook/software-download. Purchasing Items A User can buy any number of items (books, software, or a mix), adding one item at a time to their Shopping Cart. However, a User can only purchase up to a total of $100, unless they are a Member—if a non-Member User tries to add an item to their Shopping Cart that takes the total over their maximum then this is blocked. A Member has no limit. Items can be added and removed from a Shopping Cart until Checkout. When an Item is added to the Shopping Cart, the system checks that there are enough copies of it available; if an Item is added or removed from the Shopping Cart, the number of copies available must be updated. Checkout clears the Shopping Cart. Users Users can add Items to their Cart, up to their allowed limit (i.e., their Shopping Cart cannot store a total greater than the limit). A User has an id (must be unique) and password (you do NOT need to make these encrypted or secure), as well as a name and email address. A Member is a special kind of user: a Member has no limit on value they can store in their Cart. Once a User has spent a total of 10% more than their limit in total (this obviously must be over multiple Checkouts), then they are offered to become a Member—this offer is made straight after they Checkout with the items that takes them to 10% over their limit. An Administrator is a User that can perform special functions: add to the number of copies of a (physical) Book or Software CD; change the price of an item; print sales statistics: i.e., number of sales (physical and electronic) of each Item; add a new user—the system must checked that the new id is unique. Other Users do not have these options on their menu. A user must keep track of their previous purchases, grouped by Transaction—a Transaction is the set of items purchased at Checkout time. Users can log in and out—they do not need to Checkout before logging out. However, only one user can be logged in at a time—the system must allow something like “change user”. If a User logs back in, their Shopping Cart holds the same contents as before they logged out. Recommended Items and Discounts Each item can store a list of “if you liked this” recommendations. If a User adds an Item to their Shopping Cart, then the system suggests other titles they may like. Only similar types of things are recommended—i.e., when a Book is added, other Books (not Software) are suggested. At the time when a list of Recommended titles is given, the user has the option to add one of the recommended titles to their Shopping Cart. If a user adds the title, then they receive a discount of 15% off that second title (the first one is still full price); the User can add multiple recommended titles for 15% off each of them. If a Member adds the recommended title, then they get 25% discount off all the recommendations added. Note: when a recommended title is added, its recommendations are also shown, and are discounted if purchased at that time. You are NOT required to handle the special case of updating discounts when a User removes recommendations from their Cart. However, there is a Bonus Mark for this. Sample menus The menu for a standard User (i.e., a Shopper) should include the following options: 1. Add item to shopping cart 2. View shopping cart 3. Remove item from shopping cart 4. Checkout 5. List all items 6. Print previous purchases 7. Logout (change user) 0. Quit The menu for an Administrator should include the following options: 1. List all items (this option can include purchase statistics for each title) 2. Add copies to item 3. Change price of item 4. Add new user 5. Logout (change user) 0. Quit * SAMPLE RUNS and TEST DATA will be posted to Blackboard * Program Development When implementing large programs, especially using object-oriented style, it is highly recommended that you build your program incrementally. This assignment proposes a specific incremental implementation process: this is designed to both help you think about building large programs, and to help ensure good progress! You are not strictly required to follow the structure below, but it will help you manage complexity. Part A (2 marks): Extend Assignment 1 Start by extending your Assignment 1 solution (a sample solution will be made available): 1. Rename your main class to TechStore if necessary; 2. Extend your Book class (if necessary) to contain all data and operations it needs for Assignment 2, and appropriate classes for other types of Items to be sold; 3. Define Exceptions to handle problems/errors; in particular, you must handle invalid menu options or inputs. Part B (1 marks): Class Design Define all the classes and any interfaces needed for the described system. In particular, you should try to encapsulate all the appropriate data and operations that a class needs. This may mean some classes refer to each other (e.g., the way Account refers to Customer). At this point, you may just want to think about the data and operations and just write the definitions, not all the code. Part C (3 marks): Main Program Your main program should be in the TechStore class. (Of course, any class can contain a main(); this is useful for testing that class.) The main program will contain a menu that offers all the required options (these can be different for different Users!). The system will allow a User to login by typing their id and password and will check that these match: if it does not then the menu prints an error; if they do match, then the system prints a welcome message with the user’s name and shows them the appropriate menu. The system must keep a list of all its Users: this list must be efficient to look-up by User id. Week 7 Demo (2 marks): You will be required to demonstrate your main program and design (with only bare functionality) by Week 7 at the latest. You must also submit to the associated WebLearn project by the Week 7 lecture. Part D (4 marks): Implement Core Functionality Implement the core functionality of the TechStore system described above, except for the recommendations, members, and discounts. You should be able to implement the rest of the TechStore functionality described above, and run and test your system. Part E (4 marks): Implement Recommendations , Members, Discounts Implement the functionality of providing recommendations, users becoming and being members, and discounts. Other (4 marks) As always, marks will be awarded for coding style, documentation/comments, code layout and clarity, meaningful error and other messages, proper error handling, choice of data structures and other design decisions. You are encouraged to discuss such issues with your tutors and lab assistants, or with the coding mentors. Bonus (2 marks) Note: There will be no hints or help offered on Bonus tasks. 1 bonus mark for early demonstration of Parts A,B,C in Week 6 1 bonus mark for correctly handling removal of recommended books from Cart—e.g., if a Member removes the first item then the 15/25% should be added back to the price of the recommended title, unless there are multiple recommendations linked to that title. Submission Instructions Full assignment submission will be via Weblearn, by 9AM, Tues April 28, 2015. You can submit your assignment as many times as you want before the due date. Each submission will overwrite any previous submissions. 1. You need to submit a class diagram (in pdf, gif or jpeg format). 2. You are required to submit your .java files weekly via Weblearn. Your progress will be taken into consideration if you need an extension. 3. There will be a separate WebLearn submission for Part A,B,C—you must submit to this before the Week 7 lecture to qualify for the 2 marks for Week 7 demo. 4. You must include a README file. This should describe how to run your program, what extra functionality you implemented, any standard functionality you know does not work, and any problems or assumptions. If the tutors have any problem running your program and the README does not help then you will lose marks. 5. For the code submission, you must include only the source files in your submission (do not submit any *.class files!). As always, your code must run on CSIT machines. 6. You must submit a single ZIP file—use zip/WinZIP to zip your files before submitting---do NOT submit rar or zipx files!! 7. If you use packages, it is your responsibility that these unpack properly into the correct folders and that your program compiles correctly.
aharri64
Have you ever had an idea for a program, an app, or a game? Maybe you want to work as a developer? Then you are in the right place. In this course, you are going to discover how to become a c# developer - one of the best programming languages on earth! C# is one of the few programming languages which allows you to create amazing cross-platform Mobile Apps, Games, and PC Programs. Bringing an Idea to life is one of the best feelings one can have, but the path to get there is often full of challenges. So I have created a course that makes this path as easy as possible all with the help of c# so that you become a skilled c# developer! You start off by learning the C# basics and C# programming concepts in general: variables methods arrays if statements loops Then you learn the three pillars of Object-oriented programming. Classes and Objects Inheritance Polymorphism Once you mastered them you will go into advanced C# Topics, such as Databases and LINQ. In order to really become really good in c# programming, you have to program yourself, so I have created loads of exercises (and quizzes) for you to try for yourself to do c# programming and also to see how it is done afterward. Of course, you learn best programming practices along the way. Equipped with those skills, you will build beautiful user interfaces with WPF - A framework, which makes creating GUI’s a piece of cake. By that point, you can create your very own complex programs. But what comes next is even cooler. Learn Game Development with Unity and C# - Build 2 awesome games As C# can be used for multiple different areas of programming, I have decided to cover the most important ones. So I have added a whole bunch of chapters specifically designed for a C# developer and Unity game developer - arguably the best Game Engine in the world. In those chapters, you will discover how to create your very own video games by building pong, the mother of video games and zig-zag, an amazing and successful endless runner game. We live in a world, where knowledge and work are shared more than ever, so using assets provided by others is a huge boost to your progress. You will learn how to use 3D assets to make an endless runner. Then you’ll use animations, reset the game, use particle systems, and finally create a map procedurally. That’s quite some advanced stuff right there. I know that learning to code can be hard at times, and sometimes you just get stuck. But no worries, we are there for you. We answer each question as quickly as we can and make sure that you reach your goal of becoming a developer. WHO IS THIS COURSE FOR? The course is for anyone, who wants to learn c# and wants to become professionally good in c# programming. No experience is required whatsoever. It is designed that anyone who can handle a mouse and keyboard will succeed in finishing it. The only real requisite is the desire to learn. 30-DAY FULL MONEY-BACK GUARANTEE This course comes with a 30-day full money-back guarantee. Take the course, watch every lecture, and do the exercises, and if you feel like this course is not for you, ask for a full refund within 30 days. All your money back, no questions asked. ABOUT YOUR INSTRUCTOR: My name is Denis Panjuta and in my courses, I have taught over 150.000 students how to code. I have a Bachelor of Engineering at the University of Applied Sciences in Constance (Germany). I love teaching and creating high-quality courses. My mission is, to teach programming to over 10.000.000 people! As you see, this is the only C# course you will ever need! You will learn all the c# fundamentals, all c# basics, and everything that you need to know to succeed in c# programming and building your own cool video games! So don’t waste any more time and start to make your dreams and ideas come true by taking this course now Who this course is for: Everyone who wants to learn C# Everyone who wants to build cross plattform video games with Unity 3D Everyone who wants to build Pc programs with a beautiful UI using WPF
payMeQuiz
payMe is a technical solution initiated by some concerned Nigerians aimed to catalyze the innate desire in humans to fairly compete in an intellectual learning exercise. payMe is structured to more than engage users to learn but to incentivize users to be compelled to strive to achieve desired results on set targets. That in fact is the excelling value of payMe over competitions. payMe is originally a web2 play-to-earn (P2E) gaming application upgraded to a hybrid platform by the adoption of the platform's native utility token for incentivizing success among the quizzers. Play-to-earn (P2E) games are online games that guarantee rewards with real-world value to players for completing given task in a contest with other players. It comes with different structure and rewarding system. In the blockchain ecosystem, these rewards can be in the form of in-game assets like crypto tokens, virtual land, as well as the game assets (weapons, tools etc.) and other NFTs. The advent of web3 and its decentralized nature made it possible for players to buy, transfer and sell these in-game assets, outside of the games's traditional platform in exchange for real money. payMe is designed to encourage knowledge development using incentivization of success. payMe serve as cognitive behavioral therapy (CBT) to users who are psychogically affected by the disturbing examination malpractice permitted in the system, with the learn to earn functionality that catalyzes users desire to aspire to be the best in a transparent and meritorious form of testing knowledgeability. The transparent, honest, and undisputed fairness in determination of examinations success, aim also to promote hardwork as valuable asset to success as against luck dependency, in a society that eligizes game-of-chance about competency test. The Service payMe is designed for every interested adult netizen. The service is web-based and a communal crowdfunding scheme. The game is a test of knowledge, interactive quizzing in a multi-choice questions type. payMe™ is designed to play on web browsers enabling desktop and mobile applications. payMe is intentionally created with meritorious rewarding functionality to differ from the original pattern of the gaming industry, which is famously circumscribed by randomly selection of winners in a game of chance that is luck dependent. It is technically structured as an anti-gambling game with superlative uniqueness that distinguished it among competing brands. payMe is an ongoing concern product that will continue to meet users demands that aligns with our believes, principles and goals. The Service's Aim and Objectives The service's core aim is to create economic opportunities using ethical functionalities in a democratized software. Other objectives are: to incentivise intellectual competence. to encourage healthy and fair competition in the field of learning. to promote edifying research habits among scholars using the platform. to provide alternative healthy empowerment platform for gamesters suffering from addiction The Economic Benefit There are so many economic benefits to be derived from the payMe™ product brand. payMe guarantees regular, sustainable fiscal empowerment to users. It is a healthy alternative means of rewarding users’ passion in games. payMe is designed with the ability to enhance valuable learning exercises. Engaging in the contest can help in the reduction of common crimes incidental to youths. The Playing System The console adopts the multiple-choice questions type to create an interactive quizzing format. It offers online learning capabilities that cover extensive information on various academic subjects and soccer (FIFA competitions, leagues, and clubs’ activities). The service features an interactive learning interface and an intuitive time-bound quiz contest amongst participants. The service is deliberately created to differ from the original pattern of the gaming industry, which is luck-dependent, to an intellectual development contest. By this, payMe™ is ethical. Though it entails the use of cash to gain access, however, it guarantees much value for the little Token expended on every entry. payMe™ is designed to play on web browsers enabling desktop and mobile applications. It is playable everywhere with internet access on PC, Laptop, mobile phones, and other devices, if supported. Its technicality and structure make it superlatively unique among competing brands. payMe™ is an ongoing-concerned revolutionary software. The Process payMe™ can be subscribed to online. It entails an initial free membership registration and thereafter funding of a personal wallet with the platform’s native utility asset – the payME Pay Token (payME) Contestants automatically qualify to either make use of the premium entry to the quiz contest or use the payment option. Any of the quiz contests is a set of Ten (10) objective intra-changeable questions. Contestants are expected to provide correct answers to the questions within the swiftest timeframe. Each contestant’s result is displayed after the last question is answered on the contestants’ quiz page and thereafter, updated on the general result page. Weekly participation is limitless for contestants entering as regular quizzers but limited to 10 entries for the premium contestants. Only the best result amongst a Quizzer’s several attempts is registered for the contestant despite when it’s played each week. The first ranked 5% of the weekly contestants based on the most correct answers provided within the swiftest timeframe wins. The Playing Schedule Contests start every Monday at 12 am and end Saturday at 11.59 pm. From 12 am to 11.59 pm every Sunday, results are automatically displayed on the Result Page. The Web Portal Interface and Functions The web/mobile app has interactive interfaces and modules that help Quizzers easily glide through their activities. Some of these modules are described below: a. Wallet: A participant is expected to link his personal blockchain wallet after registration and fund it to enable him gain access to games. Only a decentralized crypto wallet is accepted. b. Quiz: This is 10 revolving questions, each having 4 objectives with 1 possible answer. When entering as a regular quizzer, once the play (ACE or COS) quiz button is clicked, $0.50 worth of payME Token will be debited from the quizzer’s wallet and credited to the platform’s wallet. Next, intra-changeable questions from the Question Bank will be appearing in non sequence routine. Quizzers are expected to provide the correct answers to each of the 10 questions as fast as they could and within 18 seconds. Immediately, after answering the 10th question, the quizzer’s result will display automatically on both the quizzing page and the general result dashboard. c. Tutorial Quiz: As the name implies, this is a free gaming zone created to enable holders of payMe token who may not want to engage in the contest, but want to improve their intellect through quizzing on the platform. However, the user must have payMe token worth $50 USD in his/her personal connected wallet to gain free access at anytime. d. Result Dashboard: this is a general result center for all Contestants. It updates automatically after each game is played during the play period, and according to the most correct answers within the swiftest time frame. That means that if a million quizzers scored 100/100, the system will display their result according to the fastest to answer the entire question using nanoseconds (an SI unit of time equal to one billionth of a second) in computing. So, be rest assured that it is impractical and impossible for 2 Quizzers to tally in the result. This makes payMe unique in the way winners are determined – fastest finger first! Updating of the dashboard however is programmed to freeze once it is 12 am every Sunday to determine the winners by publishing the result of the past week until 12 am on Monday when it continues its routine update. Available Rewards PayMe weekly quiz contest will commence by 12:00AM on Mondays and close by 11:59PM on Saturdays. Results are auto displayed on Sundays. the top most 5% of the participants are declared winners weekly and they are incentivized in ranges of: 1. The topmost 20% of the Winners earn 40% of the total revenue allocation to incentivizing pool in an equal share. 2. While the remaining 80% of the Winners earn 60% of the revenue share on an equal distribution rate. Practically, whatever revenue is generated weekly, 50% is automatically remitted to the incentivizing pool wallet and from there, the topmost 5% of the total participants are rewarded in the following ratio: 40% is equally shared to the topmost 20% while 60% is equally shared to the rest 80% of the winners. Winners claim button would automatically turn green by 12am every Sunday and they can claim their prizes themselves from their dashboard. Every Year, each of the 10 most intelligent Quizzers, drawn from the 52 weeks’ cumulative results of all participants in the ACE Quiz contests are rewarded with a Scholarship Award worth $1000 USDT in payME Token. Criteria is participating in every week of play. Cost of Play Cost of Game $0.50 worth of payME Token per game entry or with a single weekly subscription with payMe token worth $5. NB: The rewards are available for each quizzer's claim from Sunday at 12 am (according to the Nigerian calendar and time).
anujkumarthakur
Introduction Note: This edition of the book is the same as The Rust Programming Language available in print and ebook format from No Starch Press. Welcome to The Rust Programming Language, an introductory book about Rust. The Rust programming language helps you write faster, more reliable software. High-level ergonomics and low-level control are often at odds in programming language design; Rust challenges that conflict. Through balancing powerful technical capacity and a great developer experience, Rust gives you the option to control low-level details (such as memory usage) without all the hassle traditionally associated with such control. Who Rust Is For Rust is ideal for many people for a variety of reasons. Let’s look at a few of the most important groups. Teams of Developers Rust is proving to be a productive tool for collaborating among large teams of developers with varying levels of systems programming knowledge. Low-level code is prone to a variety of subtle bugs, which in most other languages can be caught only through extensive testing and careful code review by experienced developers. In Rust, the compiler plays a gatekeeper role by refusing to compile code with these elusive bugs, including concurrency bugs. By working alongside the compiler, the team can spend their time focusing on the program’s logic rather than chasing down bugs. Rust also brings contemporary developer tools to the systems programming world: Cargo, the included dependency manager and build tool, makes adding, compiling, and managing dependencies painless and consistent across the Rust ecosystem. Rustfmt ensures a consistent coding style across developers. The Rust Language Server powers Integrated Development Environment (IDE) integration for code completion and inline error messages. By using these and other tools in the Rust ecosystem, developers can be productive while writing systems-level code. Students Rust is for students and those who are interested in learning about systems concepts. Using Rust, many people have learned about topics like operating systems development. The community is very welcoming and happy to answer student questions. Through efforts such as this book, the Rust teams want to make systems concepts more accessible to more people, especially those new to programming. Companies Hundreds of companies, large and small, use Rust in production for a variety of tasks. Those tasks include command line tools, web services, DevOps tooling, embedded devices, audio and video analysis and transcoding, cryptocurrencies, bioinformatics, search engines, Internet of Things applications, machine learning, and even major parts of the Firefox web browser. Open Source Developers Rust is for people who want to build the Rust programming language, community, developer tools, and libraries. We’d love to have you contribute to the Rust language. People Who Value Speed and Stability Rust is for people who crave speed and stability in a language. By speed, we mean the speed of the programs that you can create with Rust and the speed at which Rust lets you write them. The Rust compiler’s checks ensure stability through feature additions and refactoring. This is in contrast to the brittle legacy code in languages without these checks, which developers are often afraid to modify. By striving for zero-cost abstractions, higher-level features that compile to lower-level code as fast as code written manually, Rust endeavors to make safe code be fast code as well. The Rust language hopes to support many other users as well; those mentioned here are merely some of the biggest stakeholders. Overall, Rust’s greatest ambition is to eliminate the trade-offs that programmers have accepted for decades by providing safety and productivity, speed and ergonomics. Give Rust a try and see if its choices work for you. Who This Book Is For This book assumes that you’ve written code in another programming language but doesn’t make any assumptions about which one. We’ve tried to make the material broadly accessible to those from a wide variety of programming backgrounds. We don’t spend a lot of time talking about what programming is or how to think about it. If you’re entirely new to programming, you would be better served by reading a book that specifically provides an introduction to programming. How to Use This Book In general, this book assumes that you’re reading it in sequence from front to back. Later chapters build on concepts in earlier chapters, and earlier chapters might not delve into details on a topic; we typically revisit the topic in a later chapter. You’ll find two kinds of chapters in this book: concept chapters and project chapters. In concept chapters, you’ll learn about an aspect of Rust. In project chapters, we’ll build small programs together, applying what you’ve learned so far. Chapters 2, 12, and 20 are project chapters; the rest are concept chapters. Chapter 1 explains how to install Rust, how to write a Hello, world! program, and how to use Cargo, Rust’s package manager and build tool. Chapter 2 is a hands-on introduction to the Rust language. Here we cover concepts at a high level, and later chapters will provide additional detail. If you want to get your hands dirty right away, Chapter 2 is the place for that. At first, you might even want to skip Chapter 3, which covers Rust features similar to those of other programming languages, and head straight to Chapter 4 to learn about Rust’s ownership system. However, if you’re a particularly meticulous learner who prefers to learn every detail before moving on to the next, you might want to skip Chapter 2 and go straight to Chapter 3, returning to Chapter 2 when you’d like to work on a project applying the details you’ve learned. Chapter 5 discusses structs and methods, and Chapter 6 covers enums, match expressions, and the if let control flow construct. You’ll use structs and enums to make custom types in Rust. In Chapter 7, you’ll learn about Rust’s module system and about privacy rules for organizing your code and its public Application Programming Interface (API). Chapter 8 discusses some common collection data structures that the standard library provides, such as vectors, strings, and hash maps. Chapter 9 explores Rust’s error-handling philosophy and techniques. Chapter 10 digs into generics, traits, and lifetimes, which give you the power to define code that applies to multiple types. Chapter 11 is all about testing, which even with Rust’s safety guarantees is necessary to ensure your program’s logic is correct. In Chapter 12, we’ll build our own implementation of a subset of functionality from the grep command line tool that searches for text within files. For this, we’ll use many of the concepts we discussed in the previous chapters. Chapter 13 explores closures and iterators: features of Rust that come from functional programming languages. In Chapter 14, we’ll examine Cargo in more depth and talk about best practices for sharing your libraries with others. Chapter 15 discusses smart pointers that the standard library provides and the traits that enable their functionality. In Chapter 16, we’ll walk through different models of concurrent programming and talk about how Rust helps you to program in multiple threads fearlessly. Chapter 17 looks at how Rust idioms compare to object-oriented programming principles you might be familiar with. Chapter 18 is a reference on patterns and pattern matching, which are powerful ways of expressing ideas throughout Rust programs. Chapter 19 contains a smorgasbord of advanced topics of interest, including unsafe Rust, macros, and more about lifetimes, traits, types, functions, and closures. In Chapter 20, we’ll complete a project in which we’ll implement a low-level multithreaded web server! Finally, some appendixes contain useful information about the language in a more reference-like format. Appendix A covers Rust’s keywords, Appendix B covers Rust’s operators and symbols, Appendix C covers derivable traits provided by the standard library, Appendix D covers some useful development tools, and Appendix E explains Rust editions. There is no wrong way to read this book: if you want to skip ahead, go for it! You might have to jump back to earlier chapters if you experience any confusion. But do whatever works for you. An important part of the process of learning Rust is learning how to read the error messages the compiler displays: these will guide you toward working code. As such, we’ll provide many examples that don’t compile along with the error message the compiler will show you in each situation. Know that if you enter and run a random example, it may not compile! Make sure you read the surrounding text to see whether the example you’re trying to run is meant to error. Ferris will also help you distinguish code that isn’t meant to work:
Welcome to 6.86x Machine Learning with Python–From Linear Models to Deep Learning. Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix, Amazon), advertisers, and financial institutions employ machine learning algorithms for content recommendation, predicting customer behavior, compliance, or risk. As a discipline, machine learning tries to design and understand computer programs that learn from experience for the purpose of prediction or control. In this course, you will learn about principles and algorithms for turning training data into effective automated predictions. We will cover: Representation, over-fitting, regularization, generalization, VC dimension; Clustering, classification, recommender problems, probabilistic modeling, reinforcement learning; On-line algorithms, support vector machines, and neural networks/deep learning. You will be able to: Understand principles behind machine learning problems such as classification, regression, clustering, and reinforcement learning Implement and analyze models such as linear models, kernel machines, neural networks, and graphical models Choose suitable models for different applications Implement and organize machine learning projects, from training, validation, parameter tuning, to feature engineering You will implement and experiment with the algorithms in several Python projects designed for different practical applications. You will expand your statistical knowledge to not only include a list of methods, but also the mathematical principles that link these methods together, equipping you with the tools you need to develop new ones.
EMETEM-GLOBAL-ENTERPRISE
# Contributing to this repository <!-- omit in toc --> ## Getting started <!-- omit in toc --> Before you begin: - This site is powered by Node.js. Check to see if you're on the [version of node we support](contributing/development.md). - Have you read the [code of conduct](CODE_OF_CONDUCT.md)? - Check out the [existing issues](https://github.com/github/docs/issues) & see if we [accept contributions](#types-of-contributions-memo) for your type of issue. ### Use the 'make a contribution' button  Navigating a new codebase can be challenging, so we're making that a little easier. As you're using docs.github.com, you may come across an article that you want to make an update to. You can click on the **make a contribution** button right on that article, which will take you to the file in this repo where you'll make your changes. Before you make your changes, check to see if an [issue exists](https://github.com/github/docs/issues/) already for the change you want to make. ### Don't see your issue? Open one If you spot something new, open an issue using a [template](https://github.com/github/docs/issues/new/choose). We'll use the issue to have a conversation about the problem you want to fix. ### Ready to make a change? Fork the repo Fork using GitHub Desktop: - [Getting started with GitHub Desktop](https://docs.github.com/en/desktop/installing-and-configuring-github-desktop/getting-started-with-github-desktop) will guide you through setting up Desktop. - Once Desktop is set up, you can use it to [fork the repo](https://docs.github.com/en/desktop/contributing-and-collaborating-using-github-desktop/cloning-and-forking-repositories-from-github-desktop)! Fork using the command line: - [Fork the repo](https://docs.github.com/en/github/getting-started-with-github/fork-a-repo#fork-an-example-repository) so that you can make your changes without affecting the original project until you're ready to merge them. Fork with [GitHub Codespaces](https://github.com/features/codespaces): - [Fork, edit, and preview](https://docs.github.com/en/free-pro-team@latest/github/developing-online-with-codespaces/creating-a-codespace) using [GitHub Codespaces](https://github.com/features/codespaces) without having to install and run the project locally. ### Make your update: Make your changes to the file(s) you'd like to update. Here are some tips and tricks for [using the docs codebase](#working-in-the-githubdocs-repository). - Are you making changes to the application code? You'll need **Node.js v14** to run the site locally. See [contributing/development.md](contributing/development.md). - Are you contributing to markdown? We use [GitHub Markdown](contributing/content-markup-reference.md). ### Open a pull request When you're done making changes and you'd like to propose them for review, use the [pull request template](#pull-request-template) to open your PR (pull request). ### Submit your PR & get it reviewed - Once you submit your PR, others from the Docs community will review it with you. The first thing you're going to want to do is a [self review](#self-review). - After that, we may have questions, check back on your PR to keep up with the conversation. - Did you have an issue, like a merge conflict? Check out our [git tutorial](https://lab.github.com/githubtraining/managing-merge-conflicts) on how to resolve merge conflicts and other issues. ### Your PR is merged! Congratulations! The whole GitHub community thanks you. :sparkles: Once your PR is merged, you will be proudly listed as a contributor in the [contributor chart](https://github.com/github/docs/graphs/contributors). ### Keep contributing as you use GitHub Docs Now that you're a part of the GitHub Docs community, you can keep participating in many ways. **Learn more about contributing:** - [Types of contributions :memo:](#types-of-contributions-memo) - [:mega: Discussions](#mega-discussions) - [:beetle: Issues](#beetle-issues) - [:hammer_and_wrench: Pull requests](#hammer_and_wrench-pull-requests) - [:question: Support](#question-support) - [:earth_asia: Translations](#earth_asia-translations) - [:balance_scale: Site Policy](#balance_scale-site-policy) - [Starting with an issue](#starting-with-an-issue) - [Labels](#labels) - [Opening a pull request](#opening-a-pull-request) - [Working in the github/docs repository](#working-in-the-githubdocs-repository) - [Reviewing](#reviewing) - [Self review](#self-review) - [Pull request template](#pull-request-template) - [Suggested changes](#suggested-changes) - [Windows](#windows) ## Types of contributions :memo: You can contribute to the GitHub Docs content and site in several ways. This repo is a place to discuss and collaborate on docs.github.com! Our small, but mighty :muscle: docs team is maintaining this repo, to preserve our bandwidth, off topic conversations will be closed. ### :mega: Discussions Discussions are where we have conversations. If you'd like help troubleshooting a docs PR you're working on, have a great new idea, or want to share something amazing you've learned in our docs, join us in [discussions](https://github.com/github/docs/discussions). ### :beetle: Issues [Issues](https://docs.github.com/en/github/managing-your-work-on-github/about-issues) are used to track tasks that contributors can help with. If an issue has a triage label, we haven't reviewed it yet and you shouldn't begin work on it. If you've found something in the content or the website that should be updated, search open issues to see if someone else has reported the same thing. If it's something new, open an issue using a [template](https://github.com/github/docs/issues/new/choose). We'll use the issue to have a conversation about the problem you want to fix. ### :hammer_and_wrench: Pull requests A [pull request](https://docs.github.com/en/github/collaborating-with-issues-and-pull-requests/about-pull-requests) is a way to suggest changes in our repository. When we merge those changes, they should be deployed to the live site within 24 hours. :earth_africa: To learn more about opening a pull request in this repo, see [Opening a pull request](#opening-a-pull-request) below. ### :question: Support We are a small team working hard to keep up with the documentation demands of a continuously changing product. Unfortunately, we just can't help with support questions in this repository. If you are experiencing a problem with GitHub, unrelated to our documentation, please [contact GitHub Support directly](https://support.github.com/contact). Any issues, discussions, or pull requests opened here requesting support will be given information about how to contact GitHub Support, then closed and locked. If you're having trouble with your GitHub account, contact [Support](https://support.github.com/contact). ### :earth_asia: Translations This website is internationalized and available in multiple languages. The source content in this repository is written in English. We integrate with an external localization platform called [Crowdin](https://crowdin.com) and work with professional translators to localize the English content. **We do not currently accept contributions for translated content**, but we hope to in the future. ### :balance_scale: Site Policy GitHub's site policies are published on docs.github.com, too! If you find a typo in the site policy section, you can open a pull request to fix it. For anything else, see [the CONTRIBUTING guide in the site-policy repo](https://github.com/github/site-policy/blob/main/CONTRIBUTING.md). ## Starting with an issue You can browse existing issues to find something that needs help! ### Labels Labels can help you find an issue you'd like to help with. - The [`help wanted` label](https://github.com/github/docs/issues?q=is%3Aopen+is%3Aissue+label%3A%22help+wanted%22) is for problems or updates that anyone in the community can start working on. - The [`good first issue` label](https://github.com/github/docs/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22) is for problems or updates we think are ideal for beginners. - The [`content` label](https://github.com/github/docs/issues?q=is%3Aopen+is%3Aissue+label%3Acontent) is for problems or updates in the content on docs.github.com. These will usually require some knowledge of Markdown. - The [`engineering` label](https://github.com/github/docs/issues?q=is%3Aopen+is%3Aissue+label%3Aengineering) is for problems or updates in the docs.github.com website. These will usually require some knowledge of JavaScript/Node.js or YAML to fix. ## Opening a pull request You can use the GitHub user interface :pencil2: for some small changes, like fixing a typo or updating a readme. You can also fork the repo and then clone it locally, to view changes and run your tests on your machine. ## Working in the github/docs repository Here's some information that might be helpful while working on a Docs PR: - [Development](/contributing/development.md) - This short guide describes how to get this app running on your local machine. - [Content markup reference](/contributing/content-markup-reference.md) - All of our content is written in GitHub-flavored Markdown, with some additional enhancements. - [Content style guide for GitHub Docs](/contributing/content-style-guide.md) - This guide covers GitHub-specific information about how we style our content and images. It also links to the resources we use for general style guidelines. - [Reusables](/data/reusables/README.md) - We use reusables to help us keep content up to date. Instead of writing the same long string of information in several articles, we create a reusable, then call it from the individual articles. - [Variables](/data/variables/README.md) - We use variables the same way we use reusables. Variables are for short strings of reusable text. - [Liquid](/contributing/liquid-helpers.md) - We use liquid helpers to create different versions of our content. - [Scripts](/script/README.md) - The scripts directory is the home for all of the scripts you can run locally. - [Tests](/tests/README.md) - We use tests to ensure content will render correctly on the site. Tests run automatically in your PR, and sometimes it's also helpful to run them locally. ## Reviewing We (usually the docs team, but sometimes GitHub product managers, engineers, or supportocats too!) review every single PR. The purpose of reviews is to create the best content we can for people who use GitHub. :yellow_heart: Reviews are always respectful, acknowledging that everyone did the best possible job with the knowledge they had at the time. :yellow_heart: Reviews discuss content, not the person who created it. :yellow_heart: Reviews are constructive and start conversation around feedback. ### Self review You should always review your own PR first. For content changes, make sure that you: - [ ] Confirm that the changes address every part of the content strategy plan from your issue (if there are differences, explain them). - [ ] Review the content for technical accuracy. - [ ] Review the entire pull request using the [localization checklist](contributing/localization-checklist.md). - [ ] Copy-edit the changes for grammar, spelling, and adherence to the style guide. - [ ] Check new or updated Liquid statements to confirm that versioning is correct. - [ ] Check that all of your changes render correctly in staging. Remember, that lists and tables can be tricky. - [ ] If there are any failing checks in your PR, troubleshoot them until they're all passing. ### Pull request template When you open a pull request, you must fill out the "Ready for review" template before we can review your PR. This template helps reviewers understand your changes and the purpose of your pull request. ### Suggested changes We may ask for changes to be made before a PR can be merged, either using [suggested changes](https://docs.github.com/en/github/collaborating-with-issues-and-pull-requests/incorporating-feedback-in-your-pull-request) or pull request comments. You can apply suggested changes directly through the UI. You can make any other changes in your fork, then commit them to your branch. As you update your PR and apply changes, mark each conversation as [resolved](https://docs.github.com/en/github/collaborating-with-issues-and-pull-requests/commenting-on-a-pull-request#resolving-conversations). ## Windows This site can be developed on Windows, however a few potential gotchas need to be kept in mind: 1. Regular Expressions: Windows uses `\r\n` for line endings, while Unix based systems use `\n`. Therefore when working on Regular Expressions, use `\r?\n` instead of `\n` in order to support both environments. The Node.js [`os.EOL`](https://nodejs.org/api/os.html#os_os_eol) property can be used to get an OS-specific end-of-line marker. 1. Paths: Windows systems use `\` for the path separator, which would be returned by `path.join` and others. You could use `path.posix`, `path.posix.join` etc and the [slash](https://ghub.io/slash) module, if you need forward slashes - like for constructing URLs - or ensure your code works with either. 1. Bash: Not every Windows developer has a terminal that fully supports Bash, so it's generally preferred to write [scripts](/script) in JavaScript instead of Bash.
ansjin
For solving the challenge of online detection of memory leaks in cloud-based infrastructure without having any internal application knowledge we introduce multiple algorithms. The main introduced algorithm is Precog (which works based on ML and uses history information) This algorithms solely use one metric i.e the system's memory utilization on which the application is deployed for the detection of a memory leak. In this work, there are 5 algorithms introduced