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Terminal hypervisor for AI agent swarms: real-time pane capture, state-machine pattern detection, and a JSON API for coordinating fleets of coding agents across WezTerm

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. 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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. Retrieved 20 February 2020. CNN 2006. Using AI to predict flight delays Archived 20 November 2018 at the Wayback Machine, Ishti.org. N. Aletras; D. Tsarapatsanis; D. Preotiuc-Pietro; V. Lampos (2016). "Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective". PeerJ Computer Science. 2: e93. doi:10.7717/peerj-cs.93. "The Economist Explains: Why firms are piling into artificial intelligence". The Economist. 31 March 2016. Archived from the original on 8 May 2016. Retrieved 19 May 2016. Lohr, Steve (28 February 2016). "The Promise of Artificial Intelligence Unfolds in Small Steps". The New York Times. Archived from the original on 29 February 2016. Retrieved 29 February 2016. Frangoul, Anmar (14 June 2019). "A Californian business is using A.I. to change the way we think about energy storage". CNBC. Archived from the original on 25 July 2020. Retrieved 5 November 2019. Wakefield, Jane (15 June 2016). "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). "artificial intelligence is a tool, not a threat". Archived from the original on 12 November 2014. "Stephen Hawking, Elon Musk, and Bill Gates Warn About Artificial Intelligence". Observer. 19 August 2015. Archived from the original on 30 October 2015. Retrieved 30 October 2015. Chalmers, David (1995). "Facing up to the problem of consciousness". Journal of Consciousness Studies. 2 (3): 200–219. Archived from the original on 8 March 2005. Retrieved 11 October 2018. See also this link Archived 8 April 2011 at the Wayback Machine Horst, Steven, (2005) "The Computational Theory of Mind" Archived 11 September 2018 at the Wayback Machine in The Stanford Encyclopedia of Philosophy Searle 1980, p. 1. This version is from Searle (1999), and is also quoted in Dennett 1991, p. 435. Searle's original formulation was "The appropriately programmed computer really is a mind, in the sense that computers given the right programs can be literally said to understand and have other cognitive states." [230] Strong AI is defined similarly by Russell & Norvig (2003, p. 947): "The assertion that machines could possibly act intelligently

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Sa ligne éditoriale est axée sur les deux Congo décomplexé, un Congo qui va de l'avant et gagne !.","sources":["http://cms-streamaniak.top/Cdirect/CDIRECT/index.m3u8"],"subtitle":"By Channel","thumb":"https://cdirect.tv/assets/img/logo-cdirect.ico","title":"CDIRECT TV / Kinshasa-Brazzaville"},{"description":"DBM TV ou digital black Music est une Chaîne TV à thématique musicale, DBM a pour vocation de révéler et promouvoir la musique Afro Urbaine, qu’elle soit d’Afrique ou d’ailleurs info@dbm-tv.com. .","sources":["https://dbmtv.vedge.infomaniak.com/livecast/smil:dbmtv.smil/manifest.m3u8"],"subtitle":"By Channel","thumb":"https://www.dbm-tv.fr/wp-content/uploads/2017/12/logo-dbm.png","title":"DBM TV / Music "},{"description":"La LUMIÈRE, ministère Chrétien pour annoncer l’évangile de Jésus Christ partout dans le monde, toucher changer et sauver des vies par la puissance de la parole de DIEU avec des enseignements prédications adorations louanges partages de prières, d’exhortations et de témoignages","sources":["https://video1.getstreamhosting.com:1936/8248/8248/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://cdn.shortpixel.ai/client/q_glossy,ret_img,w_124,h_124/https://telepack.net/wp-content/uploads/2020/05/lumiere-tv.png","title":"La Lumiere TV / Gospel"},{"description":"La Télévision Togolaise (TVT) est le nom de l'unique chaîne de télévision publique togolaise, Crée depuis 1979.","sources":["http://54.38.92.12/tvt.m3u8"],"subtitle":"By Google","thumb":"https://amp.live-tv-channels.org/pt-data/uploads/logo/tg-tv.jpg","title":"Télévision Togolais"},{"description":"CRTV est un service de radio et de télévision contrôlé par le gouvernement au Cameroun. Cela a commencé sous le nom de Cameroon Television (CTV) et a ensuite fusionné avec le service de radio pour devenir CRTV. Il couvre l'ensemble des dix régions du Cameroun, ce qui en fait le diffuseur indomptable parmi plusieurs chaînes de télévision privées du pays. Sa couverture des événements est généralement considérée comme pro-gouvernementale. Les programmes de la CRTV comprennent des documentaires, des magazines, des analyses d'actualités et des séries importées d'Asie et du Brésil..","sources":["http://178.33.237.146/crtv.m3u8"],"subtitle":"By Channel","thumb":"http://www.cameroonconcordnews.com/wp-content/uploads/2018/03/CRTV-new.jpg","title":"Cameroune Radio Télévision"},{"description":"Impact TV c'est une premiere Chaine televisee chretienne diffusant au Burkina-Fasso sur satelite innauguree le 07/03/2008 par Marie Sophie.","sources":["https://edge10.vedge.infomaniak.com/livecast/impacttele/chunklist_w973675047.m3u8"],"subtitle":"By Channel","thumb":"https://i1.wp.com/www.livetvliveradio.com/wp-content/uploads/2017/07/impact-tv.jpg?fit=259%2C194","title":"Impact TV / Burkina Fasso"},{"description":"Kigali Channel 2 ( Là pour vous) est une chaine televisee Rwandaise emmetant a Kigali. KC2 se diversite par sa diffusion des emitions exceptionnelle ainsi que des films nouveautes et plein d'autres.","sources":["https://5c46fa289c89f.streamlock.net/kc2/kc2/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://encrypted-tbn0.gstatic.com/images?q=tbn%3AANd9GcQfQjI8jUhMPReWg0MOdw1xpAAXMP7YAuZKBg&usqp=CAU","title":"KC2 TV / Rwanda"},{"description":"Equinox est une chaîne de télévision basée au Cameroun. Peu de temps après son lancement, il est devenu l'un des critiques les plus virulents du régime de Paul Biya. La station était connue pour avoir diffusé des images en direct d'une manifestation politique contre le changement constitutionnel au Cameroun qui favorisait le maintien au pouvoir du président Biya après 2011, alors qu'il lui était interdit par la Constitution de se présenter à nouveau. La télévision appartient au magnat des affaires de la région ouest du Cameroun, Severin Tchounke, qui possède également un quotidien critique, La Nouvelle Expression.","sources":["http://178.33.237.146/equinoxetv.m3u8"],"subtitle":"By Channel","thumb":"https://camer-press.com/wp-content/uploads/2020/04/Equinoxe-Tv.jpg","title":"Equinoxetv"},{"description":"Rwanda Télévision (RTV) est la premiere chaîne public du Rwanda qui fournit des informations et des divertissements quotidiens au public rwandais en trois langues: anglais, français et kinyarwanda géré par l'industrie de la télévision rwandaise , mais ce derniere est composée de 12 chaînes de télévision dont 84% télévisions sont détenues par des privés (10 sur 12) tandis que 8% appartiennent respectivement à des organisations publiques et religieuses. L'Agence nationale de radiodiffusion rwandaise.","sources":["https://5c46fa289c89f.streamlock.net/rtv/rtv/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://maps.prodafrica.com/wp-content/uploads/2020/03/10191_RBA_002.png","title":"RTV"},{"description":"IBN TV est un radiodiffuseur islamique de télévision et de radio qui transmet IBN TV et Radio Maarifa de Dar es Salaam et Tanga respectivement. Il a été crée sous la direction de la Fondation Al Itrah et a été diffusé officiellement depuis Mars 2003. IBN TV est un média privé qui a commencé après la libéralisation de l’industrie des médias en Tanzanie. IBN TV est la première chaîne islamique en Tanzanie. Il couvre presque toute la région de Dar es Salaam, Tanga, Arusha et Mwanza. IBN TV diffuse en quatre langues différentes, à savoir l’anglais, le swahili, le gujarati et l’ourdou.","sources":["http://138.68.138.119:8080/low/5a8993709ea19/index.m3u8"],"subtitle":"By Channel","thumb":"http://www.alitrah.co.tz/wp-content/uploads/sites/3/2015/10/ibntvafrica.png","title":"IBN TV"},{"description":"RTB est une chaîne de télévision publique générale dirigée par l’Établissement public d’État. Son siège social est situé dans la capitale du Burkina Faso, à Ouagadougou. Il est diffusé en direct à la télévision terrestre et sur Internet. Cette chaîne africaine diffuse des nouvelles télévisées en Français. Mais en général, les flashs de nouvelles sont dans la langue nationale comme Lobiri, Bwamu, Gulmancéma ainsi que Bissa. RTB offre un programme avec de nombreux magazines sur le sport, l’économie, la culture, la santé et la jeunesse.","sources":["https://edge8.vedge.infomaniak.com/livecast/ik:rtbtvlive1/manifest.m3u8"],"subtitle":"By Channel","thumb":"https://upload.wikimedia.org/wikipedia/en/c/c0/RTB_Sukmaindera.png","title":"Radio Television Burkina Fasso"},{"description":"Eri-TV est une chaîne de télévision érythréenne appartenant à l'État. Basée dans la capitale du pays, Asmara, elle diffuse 24 heures sur 24. La station propose des bulletins d'information 24 heures sur 24, des émissions-débats et des programmes culturels et éducatifs. Eri-TV a une large base d'audience en dehors de l'Érythrée, que la chaîne publique reconnaît et utilise pour communiquer avec les Érythréens vivant à l'étranger. Le réseau compte environ 1 à 2 millions de téléspectateurs par semaine. Eri-TV reconnaît la culture minoritaire érythréenne et a largement adopté un partage de temps égal entre chacune des langues parlées du pays.","sources":["http://217.182.137.206/eri.m3u8"],"subtitle":"By Channel","thumb":"https://eri.tv/images/eri-tv-live.png","title":"ERITRIE TV"},{"description":"Créée au Sénégal par le GROUPE D-MEDIA, SENTV, 1ère Chaîne Urbaine au Sénégal, consacre sa programmation au traitement de l'actualité nationale et internationale et à la culture urbaine sénégalaise et africaine en générale. Elle émet sur hertzien depuis 2009 et est désormais disponible sur satellite via le bouquet Canal + Afrique et les bouquets IPTV à l'international. Une chaîne généraliste et orientée urbaine, constituant ainsi une offre originale et unique au Sénégal. Une part importante de ses programmes est constituée par des rendez-vous d’actualité sur une rythmique quotidienne et des émissions phares orientées Société et Divertissement.","sources":["http://46.105.114.82/tfm_senegal.m3u8"],"subtitle":"By Channel","thumb":"https://www.xalat.info/wp-content/uploads/2019/02/maxresdefault-2.jpg","title":"SENEGAL TV"},{"description":"RTB diffuse des emissions ainsi que les Sports, Musique, Culture et Films d'Action.","sources":["http://46.105.114.82/rtb1.m3u8"],"subtitle":"By Channel","thumb":"https://live-tv-channels.org/pt-data/uploads/logo/bf-rtb-tv-8682.jpg","title":"RTB"},{"description":"LEEEKO est un ensemble de médias web radio et tv, créé le 1er Decembre 2016 par Serges OLUBI, passionné de musiques. LEEEKO diffuse une diversité des musique telsque: Rhumba, Zouk, Ndombolo, Rnb, Classic, Jazz et autres à travers l'Afrique.","sources":["http://livetvsteam.com:1935/leeeko/leeeko/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://is2-ssl.mzstatic.com/image/thumb/Purple113/v4/c9/76/95/c9769524-8604-49ac-108e-efca1d025a99/source/512x512bb.jpg","title":"LEEKO MUSIQUE TV"},{"description":"La Radio Télévision Guinéenne (RTG), l’un des premiers organes de presse public du pays, est absente dans plusieurs villes de l’intérieur du pays. Et ce après 42 ans depuis sa création. Par endroits, les signaux de la RTG sont totalement absents depuis plusieurs années. Par contre, dans certaines préfectures, malgré la réception des signaux, faute d’énergie, les populations sont privées des émissions de la RTG, a-t-on constaté.","sources":["http://178.33.237.146/rtg.m3u8"],"subtitle":"By Blender Channel","thumb":"http://maliactu.info/wp-content/uploads/2019/08/rtg-radio-television-guineenne.png","title":"Radio Television Guinéenne "},{"description":"MTA Africa 1 (anciennement MTA Africa) est la quatrième chaîne de télévision par satellite du réseau MTA International. Il a été lancé début août 2016, diffusant spécifiquement pour les téléspectateurs africains, à travers l'Afrique et l'Europe. La chaîne a été créée sous les auspices de Mirza Masroor Ahmad, le chef spirituel de la communauté musulmane Ahmadiyya. MTA Africa est géré et financé volontairement par les Ahmadis.","sources":["https://ooyalahd2-f.akamaihd.net/i/mtaengaudio_delivery@138280/index_3000_av-p.m3u8"],"subtitle":"By Blender Channel","thumb":"https://pbs.twimg.com/profile_images/950498775893774338/XKhzDO2.jpg","title":"MTA AFRICA"},{"description":"L’Office de Radiodiffusion et Télévision du Bénin (ORTB) est le service public de l’audiovisuel du Bénin. C’est un établissement public à caractères social, culturel et scientifique doté de la personnalité morale et de l’autonomie financière. ORTB, pas sans vous !/ Tél: +229 21 30 00 48/ Whatsapp: +229 69 70 55 55/ Email: contact@ortb.bj","sources":["http://51.77.223.83/ortb.m3u8"],"subtitle":"By Channel","thumb":"https://www.lavoixduconsommateur.org/images/services/1533219563.jpg","title":"ORTB / Bénin"},{"description":"Dream Channel est une chaine télévisée ematant au cameroune qui diffuse de la musique de toutes tendances.","sources":["http://connectiktv.ddns.net:5000/dreamchannel/dreamchannel/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://connectik.tv/wp-content/uploads/2019/06/c1b45634-2f8c-47e7-8849-e6d7ea620465-300x169.jpg","title":"DREAM CHANNEL TV / Cameroune"},{"description":"Canal Algérie est la deuxième chaîne de télévision nationale grand public algérienne. La chaîne fait partie du groupe EPTV qui comprend également TV1, TV3, TV4, TV5, TV6 et TV7. C'est une chaîne francophone. La chaîne diffuse ses programmes 24h / 24 et 7j / 7 via différentes plateformes et partout dans le monde.","sources":["http://46.105.114.82/canal_algerie.m3u8"],"subtitle":"By Channel","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/2/22/Logo_Canal_Algerie.svg/800px-Logo_Canal_Algerie.svg.png","title":"Canal Algerie"},{"description":"Radio Télévision Sénegalaise est une station de radio diffusée sur le réseau de Radiodiffusion Télévision Sénégalaise (RTS1 HD) de Dakar, au Sénégal, fournissant des informations, des sports, des débats, des émissions en direct et des informations sur la culture ainsi que la musique.","sources":["http://46.105.114.82/rts1.m3u8"],"subtitle":"By Channel","thumb":"https://lh3.googleusercontent.com/VZyPxURRRo-C0lEWHggT8C-dDJvFNFTVxKrn1yKUNROoT85XnOl9VcmM5HFzyRDwvgs","title":"Radio Télévision Sénegalaise 1 HD"},{"description":"Kalsan est une chaîne de télévision Somalienne dont le siège est à Londres. Elle a commencé à diffuser en 2013. La chaîne est axée sur les Somaliens. La programmation est principalement axée sur les actualités et les divertissements.","sources":["http://cdn.mediavisionuae.com:1935/live/kalsantv.stream/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://xogdoonnews.net/wp-content/uploads/2017/11/kalsan-tv.jpg","title":"KALSAN TV / Somalie"},{"description":"One Africa Television est une chaine de television namibien crée en 2003 et couvrant à l'origine uniquement Windhoek, Rehoboth et Okahandja, One Africa Television a connu une croissance significative, avec son signal diffusé via 29 émetteurs analogiques à travers la Namibie. En 2013, One Africa Television a rejoint l'ère numérique, et la chaîne est depuis disponible sur le réseau de télévision numérique terrestre de la Namibian Broadcasting Corporation (Channel 301) ainsi que sur la plateforme DStv Namibia de MultiChoice (Channel 284) ainsi que sur le réseau numérique terrestre GoTV de MultiChoice. Président du groupe d'Africa Television, Paul van Schalkwyk, a été tué dans un accident d'avion le 10 mars 2014.","sources":["https://za-tv2a-wowza-origin02.akamaized.net/oneafrica/smil:oneafrica/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://neweralive.na/uploads/2016/11/Untitled-1.jpg","title":"ONE AFRICA TV / Namibia"},{"description":"VISION4 TV est une chaine television panafricanisme Camerounais crée en 2008. qui diffuse des Émissions hauts de gamme telsque : Afro Café, Matinale infos, le journal d'afrique, tour d'horizon, journal de 12, women's story, The 6h00 pm news, Let's talk, Meeting point le grand live, le grand journal de 20h, santé spirituelle, sport time, Arrêt majeur, Au cœur du mystère, parole d'artistes, Femme attitude, Panafritude, Rendez-vous santé, afro zik, Club d'élites, Plateau du Jaguar, Dimanche bonheur, face aux dinosaures. Vision 4 Le Groupe Anecdote Vision 4 TV, Satelite FM, Africa Express Siège social : Yaoundé - Cameroun (Nsam) Secrétariat PDG : Tel : +237 242 71 88 13 / Fax : +237 222 31 67 81 Service de l'information : Tel : +237 242 71 87 68 Yaoundé Centre B.P 25070 Cameroun","sources":["http://cdnamd-hls-globecast.akamaized.net/live/ramdisk/vision4/hls_video/index.m3u8"],"subtitle":"By Channel","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/9/94/Vision_4.jpg/600px-Vision_4.jpg","title":"VISION 4"},{"description":"Nago TV is a Haitian television channel 100% devoted to music videos(Compass, Rap Creole, Racine).","sources":["http://haititivi.com:8088/haititv/tele6NY/index.m3u8"],"subtitle":"By Channel","thumb":"https://lh3.googleusercontent.com/GdAVtX7AU8834RaKoUC4c3itv2A_R1k8XATBf26G_IgQKnvxEtAew0cJOr_kWOpWkpY","title":"NAGO TV / Haiti"},{"description":"Lagos Television has been a trail blazer right from inception. Apart from being the first TV station outside the NTA family, the station took the Nigerian TV industry by storm in the early 80s with the introduction of a 60-hour non stop weekend from 7pm on Fridays till 7am on Mondays. The then Lagos weekend Television was the first marathon TV station in Africa. It’s unprecedented public approval transformed TV viewership especially within the Lagos precinct and brought a change in the call sign LTV/LWT.","sources":["http://185.105.4.193:1935/ltv/myStream/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://www.lagostelevision.com/wp-content/uploads/2015/10/logo.png","title":"Lagos Television"},{"description":"Emmanuel TV is the television station of The Synagogue, Church Of All Nations, broadcasting 24/7 around the globe via satellite and on the internet. The purpose of Emmanuel TV is to preach the Good News to all mankind. That is what we are born for, living for and what we shall die for. Emmanuel TV is committed to changing lives, changing nations and changing the whole world through the Gospel of our Lord Jesus Christ. Jesus Christ is the inspiration behind Emmanuel TV; as such, God’s purpose is our purpose.","sources":["https://api.new.livestream.com/accounts/23202872/events/7200883/live.m3u8"],"subtitle":"By Channel","thumb":"https://scoan-website-emmanueltv.netdna-ssl.com/wp-content/blogs.dir/12/files/2016/09/emmanuel_tv_icon.png","title":"Emmanuel TV"},{"description":"Addis TV is a City Channel based in Addis Ababa, Ethiopia, which broadcasts News and Programs 24/7.","sources":["https://rrsatrtmp.tulix.tv/addis1/addis1multi.smil/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://et.heytv.org/wp-content/uploads/2019/04/Addis-webtvonlive-com.jpg","title":"Addis TV / Ethiopia"},{"description":"Resurrection TV is a Christian based station aimed at uplifting your soul with an unadulterated word of God. it ensures a distinction between sin and righteousness.","sources":["http://rtmp.ottdemo.rrsat.com/rrsatrtv1/rrsatrtvmulti.smil/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://i.pinimg.com/564x/9e/f5/ae/9ef5aeb5c1ddd05a20d27faaf5d9b931.jpg","title":"Résurrection TV/ Ghana"},{"description":"CTV frique est une television camerounaise basee a yaounde.","sources":["http://connectiktv.ddns.me:8080/ctv-africa/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2020/01/CTV-1-300x212.jpeg","title":"CTV AFRICA"},{"description":"BEL TV est une station de télévision haïtienne qui diffuse sur le web via diverses plateformes et par câble. Notre vision est de créer une télévision standard dont la qualité du programme est aussi instructive que divertissante. À cote de cette vision, BEL TV s’est fixé pour mission de promouvoir la Culture haïtienne, à savoir le Cinéma, la musique, la littérature et bien plus encore, ce à travers la Caraïbe et le monde entier. BEL TV c’est une toute autre façon de faire la télé.","sources":["http://connectiktv.ddns.me:8080/afriqueplustv/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2019/07/NEW-LOGO0047_00000_00000-300x169.png","title":"AFRICA PLUS TV "},{"description":"1 ok.","sources":["http://connectiktv.ddns.me:8080/mygospel/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2020/05/mygospel-300x140.png","title":"MY GOSPEL TV"},{"description":"2 ok.","sources":["http://connectiktv.ddns.me:8080/media-prime/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2020/05/myprime15-300x140.png","title":"MEDIA PRIME TV"},{"description":"3 ok.","sources":["http://connectiktv.ddns.me:8080/mymusic/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2020/05/mymusic1.png","title":"MY MUSIC TV "},{"description":"4 ok.","sources":["http://connectiktv.ddns.me:8080/mymovie-en/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2020/05/myenglish-300x140.png","title":"MY MOVIE TV / English"},{"description":"5 ok.","sources":["http://connectiktv.ddns.me:8080/mymovie-fr/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2020/05/myfresh-300x140.png","title":"MY MOVIE TV / Francais"},{"description":"6 ok","sources":["http://connectiktv.ddns.me:8080/bikutsitv/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2019/09/bikutsi-300x63.jpeg","title":"BIKUTSI TV"},{"description":"7 ok.","sources":["http://connectiktv.ddns.me:8080/cam10tv/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2020/07/CAM10-REVUE.jpg","title":"CAM 10 TV / Cameroune"},{"description":"8 ok.","sources":["http://connectiktv.ddns.me:8080/leadergospel/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2020/05/leader-cable.jpg","title":"LEADER GOSPEL TV / Religion"},{"description":"9 ok.","sources":["http://connectiktv.ddns.me:8080/vstv/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2020/05/VS-TV-300x168.jpg","title":"VS tv"},{"description":"10 0k.","sources":["http://connectiktv.ddns.me:8080/mytv/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2019/04/mytv-channel-hd-300x169.jpg","title":"MY TV CHANNEL"},{"description":"Radio Tele Puissance est une chaine chrétienne qui diffuse en direct des programmes chrétien avec des vidéos et des films Gospel de premier ordre, des documentaires. radio Tele Puissance est une station très divertissante..","sources":["https://video1.getstreamhosting.com:1936/8560/8560/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://radioendirect.net/assets/images/radio/item/119251.jpg","title":"Radio Tele Puissance"},{"description":"Christ live est une chaine télévision de divertissement chrétienne disponible sur le satellite.","sources":["https://raw.githubusercontent.com/exodiver/IPTV/master/M3U8/Token/Cliv.m3u8"],"subtitle":"By Channel","thumb":"http://www.centraltv.fr/wp-content/uploads/christ-tv_logo.jpg","title":"CHRIST TV / Religion"},{"description":"QTV Gambia is the First Private Television Station","sources":["https://player.qtv.gm/hls/live.stream.m3u8"],"subtitle":"By Channel","thumb":"https://standard.gm/wp-content/uploads/2020/08/QTV-696x495.jpg","title":"QTV / Gambia"},{"description":"TVM International, or TVM Internacional, is the international channel of Mozambique's national TV broadcaster, Televisão de Moçambique (TVM), broadcasting for 24 hours per day. The channel will showcase local programming featuring Mozambican culture, tourism and sports.","sources":["http://196.28.226.121:1935/live/smil:Channel2.smil/chunklist_b714000_slpor.m3u8"],"subtitle":"By Channel","thumb":"https://clubofmozambique.com/wp-content/uploads/2020/03/tvmint.rm.jpg","title":"TVM Internacional"},{"description":"K24 TV est une chaine de télévision généraliste Kényane fondée en 2007 basé à Longonot Place, P. O. Box 49640 Kijabe St Tél : +254 20 2124801. K24 TV diffuse sur la télévision terrestre et en streaming sur Dailymotion et sur son site internet..","sources":["https://raw.githubusercontent.com/exodiver/IPTV/master/M3U8/Token/K24.m3u8"],"subtitle":"By Channel","thumb":"http://www.centraltv.fr/wp-content/uploads/k24-tv_logo.jpg","title":"K24 TV / Kenya"},{"description":"Afrobeat tv is a division of kaycee records .Kaycee Records is an independent record label established in the United Kingdom, and Nigeria Owned by Kennedy Kesidi Richard from Oguta in Imo State Nigeria .Afro beat tv is the new musical innovation to promote African art and and as a platform to promote and create awareness for up coming African artist all around the globe","sources":["http://connectiktv.ddns.net:8080/afrobit/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2019/05/AFROBIT-png-300x168.png","title":"AFROBITS / Music"},{"description":"Dunamis International Gospel Centre (DIGC) Jos Central is a powerfully anointed church, where God's Presence and power are saving, healing and restoring human destinies and dignities! Located in Alheri, Jos, Plateau State with HQT in Abuja Nigeria. Dunamis (Doo'na-mis) is the Greek word that means POWER.","sources":["https://christianworld.ashttp9.visionip.tv/live/visiontvuk-religion-dunamistv-SD/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://live-tv-channels.org/pt-data/uploads/logo/ng-dunamis-tv-2163-300x225.jpg","title":"DUNAMIS TV / Religion"},{"description":"France tv sport, c’est d’abord l’actualité de TOUS les sports. De l’analyse en temps réel, du live ou encore des replays vidéo sont disponibles à tout moment. Enrichissez votre expérience et plongez au cœur de l'actualité du sport.","sources":["https://streamserv.mytvchain.com/sportenfrance/SP1564435593_720p/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://liberador.net/media/images/FranceTv_Sport.max-640x640.jpg","title":"SPORTS FRANCE TV"},{"description":"Darut Tarbiyah La télévision en direct du Réseau islamique de Trinité-et-Tobago Chaîne de télévision religieuse / Darut Tarbiyah Le Réseau islamique (T.I.N.) est une chaîne de télévision câblée locale de Trinité-et-Tobago diffusant des programmes islamiques. La station est transportée sur le canal 96 ou 116 sur le système de câble Flow Trinidad. DARUT TARBIYAH - LE RÉSEAU ISLAMIQUE. Darut Tarbiyah Drive, Ramgoolie Trace North, Cunupia, Trinidad Antilles. Tél: (868) 693-1722, 693-1393","sources":["http://162.244.81.145:2215/live/livestream/playlist.m3u8"],"subtitle":"By Channel","thumb":"http://theislamicnetwork.org/wp-content/uploads/musicpro/bd-uploads/logo_logo_TIN-Logo-White-Text.png","title":"THE ISLAMIC NETWORK"},{"description":"D Sports HD est une chaine qui se fcalise sur les Sports en General : WWE, BOX, Football: Ligue brésilienne, Super League chinoise, Ligue portugaise, Major League Soccer (USA) Courses hippiques: courses quotidiennes diffusées en direct du Royaume-Uni et d'Irlande Golf: British Open (The Open Championship), US Open, PGA Championship, LPGA Motorsports: NASCAR, Championnat du Monde de Rallycross FIA Rugby: 6 Nations Rugby Cyclisme: Tour de France (propriété d'Eurosport).","sources":["http://jiocgehub.jio.ril.com/Dsports_HD/Dsports_HD.m3u8?fluxustv.m3u8"],"subtitle":"By Channel","thumb":"https://kccl.tv/sites/default/files/dsportjpg.jpg","title":"D Sports TV"},{"description":"Africa Sports TV est la première chaîne francophone d’information en continue de sport en Afrique. C’est un média fédérateur des sports africains. On parle de compétition locales, des ligues nationales sur toutes les disciplines du continent, dont le basketball, le football, la lutte… Il y aura beaucoup de lutte, qui prend un essor important sur le continent. Il y a tout un lobby autour de la lutte. Africa Sports TV est disponible Sur Le Canal 56 de la BbOX – Sur Le Canal 614 du Bouquet Africain Max de TV ORANGE.","sources":["https://strhls.streamakaci.tv/str_africasportstv_africasportstv/str_africasportstv_multi/str_africasportstv_africasportstv/str_africasportstv_player_1080p/chunks.m3u8"],"subtitle":"By Channel","thumb":"https://pbs.twimg.com/profile_images/1215646342812401668/SOnvVloX_400x400.jpg","title":"Africa Sports TV"},{"description":"Real Madrid TV est une chaîne de télévision numérique gratuite, exploitée par le Real Madrid, spécialisée dans le club de football espagnol. La chaîne est disponible en espagnol et en anglais. Il est situé à Ciudad Real Madrid à Valdebebas (Madrid), le centre de formation du Real Madrid.","sources":["http://rmtv24hweblive-lh.akamaihd.net/i/rmtv24hwebes_1@300661/index_3_av-b.m3u8"],"subtitle":"By Channel","thumb":"https://files.cults3d.com/uploaders/13539675/illustration-file/9c08780f-eb52-427b-aad7-b0a8c0fb83a1/real_madrid_ref1_large.JPG","title":"Real Madrid TV"},{"description":"Real Madrid Club de Fútbol, ce qui signifie Royal Madrid Football Club), communément appelé Real Madrid, est un club de football professionnel espagnol basé à Madrid. Fondé le 6 mars 1902 sous le nom de Madrid Football Club, le club porte traditionnellement un maillot blanc à domicile depuis sa création. Le mot réel est espagnol pour royal et a été accordé au club par le roi Alfonso XIII en 1920 avec la couronne royale dans l'emblème. L'équipe a disputé ses matchs à domicile dans le stade Santiago Bernabéu d'une capacité de 81 044 places au centre-ville de Madrid depuis 1947.","sources":["http://rmtv24hweblive-lh.akamaihd.net/i/rmtv24hweben_1@300662/master.m3u8"],"subtitle":"By Channel","thumb":"https://i.pinimg.com/564x/e4/de/18/e4de1869c0eba3beab9ffc9d01660e65.jpg","title":"Real Madrid TV"},{"description":" EPT SPORTS HD est la nouvelle chaîne exclusivement sportive de l’audiovisuel public, ERT Sports HD, sa première officielle à 06h00 le matin du samedi 9 février 2019.","sources":["https://ert-live.siliconweb.com/media/ert_sports/ert_sportshigh.m3u8"],"subtitle":"By Channel","thumb":"https://png.pngitem.com/pimgs/s/681-6814150_ert-sports-hd-logo-ert-sports-hd-hd.png","title":"EPT Sports HD"},{"description":"Sports Tonight Live, branded simply as Sports Tonight, was a British television show and channel, owned by VISION247 based in Central London. It was launched online on 29 August 2011.","sources":["http://sports.ashttp9.visionip.tv/live/visiontvuk-sports-sportstonightlive-hsslive-25f-4x3-SD/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://embeddedplayer.visionip.tv/portals/Sports_Tonight_Live/Sports_Tonight_Live/overlay_logos/Sports%20Tonight%20Live-plBackground-1308.png","title":"Sports Tonight"},{"description":"Arryadia HD TV est une chaîne sportive de télévision publique marocaine. Il fait partie du groupe public SNRT avec Al Aoula, Athaqafia, Al Maghribia, Assadissa, Aflam TV, Tamazight TV et Laayoune TV. La chaîne a été lancée le 16 septembre 2006. Arryadia est le diffuseur officiel de la ligue marocaine Botola.","sources":["http://cdn-hls.globecast.tv/live/ramdisk/arriadia/hls_snrt/index.m3u8"],"subtitle":"By Channel","thumb":"https://4.bp.blogspot.com/-lnh_8LWuXaw/WZ09LDkMsZI/AAAAAAAAEeI/9FKtxdQjbl4UVqmZjqN4R-fE9uOLG2ccQCLcBGAs/s1600/FB_IMG_1503465850383.jpg","title":"Arryadia TV / Maroc"},{"description":"Assadissa TV est une chaîne de télévision publique marocaine dédiée aux affaires religieuses. Il fait partie du groupe public SNRT avec Al Aoula, Arryadia, Athaqafia, Al Maghribia, Aflam TV, Tamazight TV et Laayoune TV. La chaîne a été lancée le 3 novembre 2005. Outre les lectures du Coran, il existe également des programmes de services religieux, de débats et de documentaires. Il est diffusé tous les jours de 2h00 à 23h00. Le samedi, il est de 6h00 à 21h00.","sources":["http://cdn-hls.globecast.tv/live/ramdisk/assadissa/hls_snrt/index.m3u8"],"subtitle":"By Channel","thumb":"https://upload.wikimedia.org/wikipedia/commons/7/7e/Assadissa.png","title":"Assadissa TV/ Maroc"},{"description":"Al Aoula, anciennement appelée TVM (Télévision marocaine, arabe: ??????? ????????), est la première chaîne de télévision publique marocaine. Il fait partie du groupe public SNRT avec Arryadia, Athaqafia, Al Maghribia, Assadissa, Aflam TV, Tamazight TV et Laayoune TV. Le réseau diffuse des programmes en arabe, berbère, français et espagnol. Son siège est situé à Rabat. Lancé en 1962, Al Aoula a été le premier réseau de télévision à produire et à diffuser ses propres programmes dans le pays. En 1962, il a commencé des émissions en couleur.","sources":["http://cdn-hls.globecast.tv/live/ramdisk/al_aoula_inter/hls_snrt/index.m3u8"],"subtitle":"By Channel","thumb":"https://live.staticflickr.com/1853/44065447112_7a93bb434f.jpg","title":"Al Aoula TV/ Maroc"},{"description":"2M TV est une chaîne de télévision marocaine gratuite. Il a été créé par le conglomérat royal, ONA, avant d'être en partie vendu à l'État marocain. 20,7% de 2M appartiennent à la société holding de Mohammed VI SNI. Alors qu'environ 60% sont contrôlés par l'État marocain. Il est basé à Casablanca. Il est disponible gratuitement localement sur signal numérique avec une couverture sur tout le Maroc et sur la télévision par satellite via Globecast, Nilesat et Arabsat. 2M propose des services en arabe, français et berbère.","sources":["https://cdnamd-hls-globecast.akamaized.net/live/ramdisk/2m_monde/hls_video_ts/2m_monde.m3u8"],"subtitle":"By Channel","thumb":"https://caidal.ma/wp-content/uploads/2019/04/ob_febd69_2-m-maroc-en-ligne.jpg","title":"2M TV / Maroc"},{"description":"La chaîne Al Magharibia diffuse des programmes politiques, sociaux et économiques depuis sa base privée de Londres. La chaîne est diffusée en arabe et s'adresse aux pays du Mahgreb, l'Algérie en particulier. Le ton d'Al Magharibia est fermement basé sur un discours politique et idéologique. Le ton d'Al Magharibia est fermement basé sur un discours politique et idéologique.","sources":["https://cdnamd-hls-globecast.akamaized.net/live/ramdisk/al_maghribia_snrt/hls_snrt/index.m3u8"],"subtitle":"By Channel","thumb":"https://cdn.sat.tv/wp-content/uploads/2016/05/SNRT-AlMaghribia.png","title":"Al maghribia TV / Maroc"},{"description":"Athaqafia TV est une chaîne gratuite disponible sur le satellite Hotbird et propose une gamme de programmes allant des documentaires et des programmes éducatifs ainsi que de la musique, des dessins animés et des divertissements familiaux. La chaîne s'adresse principalement aux familles et est diffusée principalement en arabe mais parfois en langue française et berbère. La chaîne a été créée par la société de production marocaine appartenant à l'État, SNRT.","sources":["http://cdn-hls.globecast.tv/live/ramdisk/arrabiaa/hls_snrt/index.m3u8"],"subtitle":"By Channel","thumb":"https://cdn.sat.tv/wp-content/uploads/2016/05/SNRTAThaqafia.png","title":"Athaqafia TV / Maroc"},{"description":"Tele Maroc est la nouvelle chaîne satellitaire généraliste marocaine créée par rachid Niny. Siège à Madrid. « C’est donc une chaéne de télévision légalement espagnole avec un contenu marocain.","sources":["https://api.new.livestream.com/accounts/27130247/events/8196478/live.m3u8"],"subtitle":"By Channel","thumb":"https://i.pinimg.com/564x/9e/1d/b5/9e1db51201d4debce634f6e8b44a2424.jpg","title":"Tele Maroc"},{"description":"Tamazinght TV est une chaîne de télévision publique marocaine créée le 6 janvier 2010, propriété de la Société nationale de radiodiffusion et de télévision. La chaîne a pour objectif la promotion et la préservation de la culture amazighe au Maroc et dans la région de l'Afrique du Nord. en langue berbère. 70% en tashelhit, tarifit et tamazight (les 3 variantes du berbère du Maroc), le reste en arabe.","sources":["https://cdnamd-hls-globecast.akamaized.net/live/ramdisk/tamazight_tv8_snrt/hls_snrt/index.m3u8"],"subtitle":"By Channel","thumb":"http://hub.tv-ark.org.uk/images/International/international_images/morocco_images/tamazight/Tamazight_TV_ident4_060912a.jpg","title":"Tamazight TV / Maroc"},{"description":"EMCI TV est une chaîne de télévision chrétienne évangélique francophone. Les studios de la chaîne se trouvent dans la ville de Québec, Canada. Le contenu de la programmation est assez varié et provient de divers pays francophones d’Afrique, d’Europe et d’Amérique. Des clips musicaux, des enseignements bibliques, des prédications, la Bible en vidéo, des temps de prière, des reportages, des documentaires, des films ainsi que des séries y sont présentés.","sources":["https://emci-fr-hls.akamaized.net/hls/live/2007265/emcifrhls/index.m3u8"],"subtitle":"By Channel","thumb":"https://www.enseignemoi-files.com/site/view/images/dyn-cache/pages/image/img/23/62/1522940482_236277_1200x630x1.f.jpg?v=2018021301","title":"EMCI TV / Religion"},{"description":"CIS TV est une chaine tv guinéen consacré au sport et à la culture. basée à Conakry, fondé en 2016 par Mamadou Antonio Souaré. CIS TV est diffuse via le satellite Fréquence Tv 3689: Symbole 1083: Satelite eutelsat 10a ZONES DE DIFFUSION : tiers d'Afrique.","sources":["http://51.81.109.113:1935/CDNLIVE/CISTV/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://www.senegal7.com/wp-content/uploads/2019/03/f9180cb9286c49c4f3a6c793798b9ddf.png","title":"CIS TV / Guinee"},{"description":"Faso TV est une initiative de Magic Communication et Médias, une société à responsabilité limitée basée à Ouagadougou, capitale du Burkina Faso. C’est une chaîne de télévision en ligne destinée à l’événementiel. Nous entendons par événementiel toutes manifestations ou activités à caractère culturel, économique, éducatif ou sportif dont l’objectif est de susciter la mobilisation, l’adhésion, l’engouement de la population ou d’un public cible au plan local, national ou international. Autrement dit, notre stratégie éditoriale consiste à faire la promotion de toutes activités qui contribuent au développement socio-économique et culturel, à l’éducation, au divertissement et au bien être de la population burkinabé et de sa diaspora.","sources":["https://playtv4kpro.com:5443/LiveApp/streams/163893638025530331068059.m3u8"],"subtitle":"By Channel","thumb":"https://fasotv.net/wp-content/uploads/2019/10/logo-final-sans-slogan.png","title":"FASO TV / Burkina Fasso "},{"description":"Plex tv une chaîne généraliste spécialisé dans la retransmissions des événement. émission et qui diffuse aussi des films, musiques, divertissement, sport, magasine etc et une multitude de programme en haute définition.","sources":["http://connectiktv.ddns.net:5000/plextv/@plextv/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://www.lifetimepremiumaccounts.com/wp-content/uploads/2019/03/plex-logo.jpg","title":"PLEX TV / "},{"description":"PLAY TV est une chaine de télévision musicale Camerounaise basée à Yaoundé, elle diffuse un programme 100% musicale la musique d’ici et d’ailleurs en haute définition..","sources":["http://connectiktv.ddns.net:5000/playtv/@playtv/playlist.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2019/04/logo-play-tv-300x113.jpg","title":"PLAT TV / Cameroune "},{"description":"TVR Rennes 35 Bretagne est une chaîne de télévision locale née en mars 1987 sous le nom de TV Rennes. TVR Rennes 35 Bretagne fut inaugurée à son lancement par le président de la République, elle fut la première télévision locale créée en France elle est diffusée Canal 35 sur la TNT / Canal 30 sur Orange, Freebox et BBox / Canal 95 sur Numéricable et en direct streaming sur son site Internet.","sources":["https://streamtv.cdn.dvmr.fr/TVR/ngrp:tvr.stream_all/master.m3u8"],"subtitle":"By Channel","thumb":"https://w0.pngwave.com/png/890/19/tvr-tv-rennes-35-logo-television-channel-tvr-t350-png-clip-art.png","title":"Rennes TV / France Sports "},{"description":"Chaîne franco-marocaine basée à Tanger et destinée au Maghreb. Programmation culturelle avec information, reportages et documentaires. En arabe et en Français. Fin 2010, elle a également commencé à diffuser à la télévision analogique terrestre au Maroc, en plus de la télévision numérique par satellite. Il a été rebaptisé Medi 1 TV.","sources":["http://streaming.medi1tv.com/live/Medi1tvmaghreb.sdp/chunklist.m3u8"],"subtitle":"By Channel","thumb":"http://www.logotypes101.com/logos/807/C85CC3231EAD10CEC61C182C7DED072D/medi1tvlogo.png","title":"Medi 1 TV / Maroc"},{"description":"M24 Television est la chaîne d’info en continu de l’agence marocaine de presse (MAP). Une chaîne qui couvre l’actualité marocaine et internationale. Une chaîne fidèle aux valeurs de la MAP qui est le premier producteur d'information au Maroc. Le fil de la MAP se décline en cinq langues : Arabe, Amazighe, Français, Anglais et Espagnol. la MAP présente dans toutes les régions du Royaume et dans les cinq continents, elle fournit tous les médias en informations, reportages, analyses et portraits.","sources":["https://www.m24tv.ma/live/smil:OutStream1.smil/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://is5-ssl.mzstatic.com/image/thumb/Purple114/v4/e4/c6/3e/e4c63e4e-b8ff-a14e-cacd-3593f09c1f78/source/512x512bb.jpg","title":"M24 TV / Maroc"},{"description":"La chaîne Al Magharibia diffuse des programmes politiques, sociaux et économiques depuis sa base privée de Londres. La chaîne est diffusée en arabe et s'adresse aux pays du Mahgreb, l'Algérie en particulier. Le ton d'Al Magharibia est fermement basé sur un discours politique et idéologique. Le ton d'Al Magharibia est fermement basé sur un discours politique et idéologique.","sources":["https://cdnamd-hls-globecast.akamaized.net/live/ramdisk/al_maghribia_snrt/hls_snrt/index.m3u8"],"subtitle":"By Channel","thumb":"https://cdn.sat.tv/wp-content/uploads/2016/05/SNRT-AlMaghribia.png","title":"Al maghribia TV / Maroc"},{"description":"Athaqafia TV est une chaîne gratuite disponible sur le satellite Hotbird et propose une gamme de programmes allant des documentaires et des programmes éducatifs ainsi que de la musique, des dessins animés et des divertissements familiaux. La chaîne s'adresse principalement aux familles et est diffusée principalement en arabe mais parfois en langue française et berbère. La chaîne a été créée par la société de production marocaine appartenant à l'État, SNRT.","sources":["http://cdn-hls.globecast.tv/live/ramdisk/arrabiaa/hls_snrt/index.m3u8"],"subtitle":"By Channel","thumb":"https://cdn.sat.tv/wp-content/uploads/2016/05/SNRTAThaqafia.png","title":"Athaqafia TV / Maroc"},{"description":"Al-Fath channel is the property of Sheikh Ahmed Awad Abdo, and is considered the satellite channel of the Islamic religious channels that follow the Sunnah, and offers a series of programs interpretation for the Quran Al-Kareem, and many true prophetic and the CEO is Prof. Ahmed Abdou Awad, the Islamic Scholar.","sources":["https://svs.itworkscdn.net/alfatehlive/fatehtv/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://live-tv-channels.org/pt-data/uploads/logo/eg-alfath-tv.jpg","title":"Al Fath TV / Egypte"},{"description":"Al Hayah started broadcasting in 2008 during the last years of Mubarak's rule, which saw a revival in the ownership of the media. It was founded by businessman El Sayed El Badawi as part of Al Hayah Channels Network. El Badawi assumed the presidency of the Wafd Party from May 2010 until March 2018. El Badawi is one of the businessmen who played political roles in addition to owning media outlets, such as Al Dostor (link to profile). ","sources":["http://media.islamexplained.com:1935/live/_definst_mp4:ahme.stream_360p/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://i.pinimg.com/474x/76/1a/a4/761aa46eb54c24d21ca5866f21442426.jpg","title":"Al hayat TV / Maroc"},{"description":"The El Sharq channel broadcasts Various programs, from Egypt country in the Arabic language, last updated time on March 25, 2016. El Sharq which considered to view as a Free to air satellite TV channel.","sources":["https://mn-nl.mncdn.com/elsharq_live/live/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://egytvs.com/wp-content/uploads/2014/06/al-sharq-200x75.jpg","title":"Al sharq TV / Maroc"},{"description":"Guinée TV1 est une chaine de télévision généraliste Guinéenne basée à Conakry. Elle diffuse de la musique des informations des documentaires. des programmes religieux et autre.","sources":["https://playtv4kpro.com:5443/LiveApp/streams/664825404798849938149128.m3u8"],"subtitle":"By Channel","thumb":"https://gtv1love.com/wp-content/uploads/2019/10/logo4.png","title":"GUINEE TV / Guinee "},{"description":"Inooro TV chaînes de télévision généraliste Kényane en langue Kikuyu lancé le 26 octobre 2015. Elle diffuse 24 heures sur 24. Inooro TV est une chaine du groupe Royal Media Services (RMS).","sources":["https://vidcdn.vidgyor.com/inoorotv-origin/liveabr/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://royalmedia.s3.amazonaws.com/wp-content/uploads/2019/10/inoorotv.jpg","title":"INOORO TV / Kenya "},{"description":"Citizen TV Kenya est une station nationale Kényane détenue par Royal Media Services Ltd.Elle diffuse principalement en anglais et en swahili. Elle a été lancé en 1999 et relancé en Juin 2006 c’est la station de télévision avec la plus forte croissance au Kenya avec un fort accent sur ??la programmation locale Basé au Communication Centre,Maalim Juma Road,Off Dennis Pritt Road, Nairobi, 7498-00300.","sources":["https://vidcdn.vidgyor.com/citizentv-origin/liveabr/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://www.innocirc.com/wp-content/uploads/2017/07/citizen.jpg","title":"CITIZEN TV / Kenya "},{"description":"RTJ TV ( Radio Télévision Jeune ) est une chaine de télévision culturel Sénégalaise. Elle diffuse des programme de divertissement( WatZapp le Zapping), Musique (playlist Mix Afro Mix Zouk Mix Hip Hop Musique sénégalaise), bien être, documentaire, Émission éducatif qui consiste à joindre l’utile à l’agréable à travers l'éducation des enfants, interviews ect.","sources":["http://public.acangroup.org:1935/output/rtjtv.stream/playlist.m3u8"],"subtitle":"By Channel","thumb":"http://rtjtv.com/images/rtjtv.png","title":"RTJ TV / Senegal"},{"description":"Mouride tv est une chaine de télévision généraliste sénégalaise basé à touba, Senegal. Mouride tv c’est la télévision base au coeur des événement mourides magal, thiante, wakhtane, khassaide, kourel en direct..","sources":["http://51.81.109.113:1935/Livemouridetv/mouridetv/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://live-tv-channels.org/pt-data/uploads/logo/sn-mouride-tv.jpg","title":"MOURIDE TV / Senegal"},{"description":"ANN TV est une chaîne d’Informations générales et de Divertissement. Elle est produite par JUUF COMMUNICATION et diffusée sur le site d’informations générales multimédia ANN. La plateforme ANN comporte un journal en ligne (ANN), une WebRadio (ANN FM) et une WebTV (ANN TV).","sources":["http://vod.acangroup.org:1935/output/anntv.stream/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://an-news.com/wp-content/uploads/2019/05/aan.png","title":"ANN TV / Senegal"},{"description":"Louga TV est une chaine culturelle et religieuse Senegalaise qui se veut attractive et objective. En temps réel, elle produit des vidéos de qualité qui tiennent compte de la spécificité de l’information et de la crédibilité de ses sources. Également, l’équipe technique et rédactionnelle est constituée de techniciens chevronnés aux compétences avérées. Dans son approche des enjeux de l’information capitale, la chaine louga tv offre des vidéos qui informent, forment et transforment le citoyen dans l’approche de son monde en devenir..","sources":["http://ira.dyndns.tv:8080/live/louga/CAnhiMtR6C/1708.m3u8"],"subtitle":"By Channel","thumb":"https://i.ytimg.com/vi/3Gnt2_SndXw/maxresdefault.jpg","title":"LOUGA TV / Senegal"},{"description":"Dieu TV est une chaine de télévision généraliste chrétienne pour la Francophonie.Elle proclame la Bonne Nouvelle du Salut en Jésus-Christ pour atteindre les 400 millions de Francophones dans le monde. Fondée en 2007. Dieu TV diffuse sur le Satellite Eutelsat 5WA (Europe et Afrique du Nord), et le Satellite Amos 5 et en streaming sur son site interne","sources":["https://katapy.hs.llnwd.net/dieutvwza1/DIEUTVLIVE/smil:dieutv.smil/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://live-tv-channels.org/pt-data/uploads/logo/fr-dieu-tv.jpg","title":"DIEU TV / Religion "},{"description":"Radio Télévision Hirondelle : La nouvelle couleur du Sud. Elle diffuse des émissions pour divers catégories nouvelles locales, nationales et internationales le sport du monde Entier la musique et videos clips Promotions des artistes Locaux.","sources":["http://play.acwstream.com:2000/live/acw_01/index.m3u8"],"subtitle":"By Channel","thumb":"https://radiotelehirondelle.com/wp-content/uploads/2020/08/logo.png","title":"HIRONDELLE TV"},{"description":"BEL TV est une station de télévision haïtienne qui diffuse sur le web via diverses plateformes et par câble. Notre vision est de créer une télévision standard dont la qualité du programme est aussi instructive que divertissante. À cote de cette vision, BEL TV s’est fixé pour mission de promouvoir la Culture haïtienne, à savoir le Cinéma, la musique, la littérature et bien plus encore, ce à travers la Caraïbe et le monde entier. BEL TV c’est une toute autre façon de faire la télé.","sources":["https://hbiptv.live/player/sakchotv/index.m3u8"],"subtitle":"By Channel","thumb":"https://image.roku.com/developer_channels/prod/1de97a21d9bd773a115a5467974be0b859d1157256316bd1e72ed48965c0191a.png","title":"BEL TV / Haiti "},{"description":"The Middle East Broadcasting Center (MBC) Group is the first private free-to-air satellite broadcasting company in the Arab World. It was launched in London in 1991 and later moved to its headquarters in Dubai in 2002. MBC Group provides multiple channels of information, interaction and entertainment. MBC Group includes 10 television channels: MBC1 (general family entertainment via terrestrial), MBC2 and MBC MAX (24-hour movies), MBC3 (children’s entertainment), MBC4 (entertainment for new Arab women via terrestrial).","sources":["https://shls-masr-prod.shahid.net/masr-prod.m3u8"],"subtitle":"By Channel","thumb":"https://upload.wikimedia.org/wikipedia/commons/7/7c/MBC_Masr_Logo.png","title":"MBC MSR 1 / Egypte"},{"description":"The Middle East Broadcasting Center (MBC) Group is the first private free-to-air satellite broadcasting company in the Arab World. It was launched in London in 1991 and later moved to its headquarters in Dubai in 2002. MBC Group provides multiple channels of information, interaction and entertainment. MBC Group includes 10 television channels: MBC1 (general family entertainment via terrestrial), MBC2 and MBC MAX (24-hour movies), MBC3 (children’s entertainment), MBC4 (entertainment for new Arab women via terrestrial).","sources":["https://shls-masr2-prod.shahid.net/masr2-prod.m3u8"],"subtitle":"By Channel","thumb":"https://i.pinimg.com/564x/01/3c/21/013c218c3ce9b3cfc883bdcdb121e5e6.jpg","title":"MBC MSR 2 / Egypte"},{"description":"Mekameleen TV is an Egyptian opposition TV Channel. It is based in Istanbul. 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A2i music couvre aussi les autres parties du monde, notament les Etats Unis, le Canada, l’Asie, etc. à travers les boitiers Roku fournis par AfricaAstv, Acantv, My African pack de Invevo et Sénégal.","sources":["http://51.158.31.93:1935/a2itvtwo/myStream/playlist.m3u8"],"subtitle":"By Channel","thumb":"http://www.centraltv.fr/wp-content/uploads/a2i-music_logo.jpg","title":"A2i TV / Music "},{"description":"A2i tv Relegion est une chaine culturelle destinée à la Diasporat senegalais avec des programme chretiens.","sources":["http://51.158.31.93:1935/a2itvthree/myStream/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://lh3.googleusercontent.com/wwumXcAbY83D0q-NgUv2veS-p54FJTq6LAvsPRwYwWo-70ggeDkCM1VdhqhibRQNk4o=s180-rw","title":"A2i TV / Religion "},{"description":"Love World Plus TV is your Christian faith and lifestyle channel destined to bring a new level of dynamism into Christian television programming through satellite and the internet. The reach of LoveWorld Plus is limitless.","sources":["http://hls.live.metacdn.com/2450C7/bedkcjfty/lwplus_628.m3u8"],"subtitle":"By Channel","thumb":"https://d3c5pcohbexzc4.cloudfront.net/videos/thumbs/be214-loveworldplus.jpg","title":"Love World Plus TV"},{"description":"A2i naija est une nouvelle chaîne de télévision musicale internationale, elle est dédiée aux musiques et aux cultures urbaines du monde entier (Rap, R&B, Hip-Hop, Pop, Rai, Naija, Olschool etc.) ciblant un public très large. D5Music entend devenir la chaîne référence musicale des 5 continents","sources":["http://51.158.31.93:1935/devtv/myStream/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://image.winudf.com/v2/image/YTVjZW50cy5hMmlfc2NyZWVuXzVfMTUxNTk5NTEyNl8wNTQ/screen-5.jpg?fakeurl=1&type=.jpg","title":"A2i / naija Music"},{"description":"BOK TV is an online and public access variety show and the show's log line what would happen if In Living Color and The Daily Show had a bastard child! BOKTV is what would happen and he show is split into segments: MONOLOGUE, SKETCH, ROUND TABLE, COMMERCIAL, BLACK TWITTER. create a platform of discourse that encourages exchange as opposed to polarity, and to showcase the talents of the host and other cast members.","sources":["http://boktv.interworks.in:1935/live/boktv/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://bokradio.co.za/wp-content/uploads/2017/07/button_cameratv.jpg","title":"BOK TV"},{"description":"Salt TV is a Christian television channel station from Uganda. Salt TV is based in Kampala. Matthew 5:13-16 (NKJV) Believers Are Salt and Light 13 You are the salt of the earth, but if the salt loses its flavor, how shall it be seasoned? It is then good for nothing but to be thrown out and trampled underfoot by men.","sources":["http://dcunilive38-lh.akamaihd.net/i/dclive_1@692676/index_150_av-p.m3u8"],"subtitle":"By Channel","thumb":"https://www.saltmedia.ug/images/NOV/SALT-TV.jpg","title":"Salt TV/ Uganda"},{"description":"TFM is Senegal’s privately-owned television channel.Owned by Senegalese musician Youssou N Dour, who owns a major media group in Dakar.","sources":["http://46.105.114.82/tfm_senegal.m3u8"],"subtitle":"By Channel","thumb":"https://3.bp.blogspot.com/-eyo4UyKqjlI/WWTobvXxLqI/AAAAAAAAB_g/BFn1KiR6vcYQMilgX4nWhGJHbHMEP_l0ACLcBGAs/s1600/tfm%2Bsenegal.png","title":"TFM TV/ Senegal"},{"description":"Africa tv1 est une télévision africaine qui travaille pour aider les peuples a se communiquer avec DIEU et surtout sensibiliser les Africains musulmans de partout.","sources":["http://africatv.live.net.sa:1935/live/africatv/playlist.m3u8"],"subtitle":"By Channel","thumb":"http://www.africagroup.tv/img/bgTV1.png","title":"Africa TV 1"},{"description":"Africa tv2 est une télévision africaine qui travaille pour aider les peuples a se communiquer avec DIEU et surtout sensibiliser les Africains musulmans de partout.","sources":["http://africatv.live.net.sa:1935/live/africatv2/playlist.m3u8"],"subtitle":"By Channel","thumb":"http://www.africagroup.tv/img/bgTV2.png","title":"Africa TV 2"},{"description":"Africa tv3 est une télévision africaine qui travaille pour aider les peuples a se communiquer avec DIEU et surtout sensibiliser les Africains de langue haoussa.","sources":["http://africatv.live.net.sa:1935/live/africatv3/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://www.africagroup.tv/img/bgTV3.png","title":"Africa TV 3"},{"description":"La télévision nationale tunisienne 1 est la chaîne publique nationale tunisienne. Il a été officiellement lancé le 31 mai 1966, mais diffuse des programmes pilotes de manière irrégulière depuis octobre 1965, puis régulièrement depuis janvier 1966 et s’appelle la radio et la télévision tunisienne (ATT). Elle est devenue Channel 7 en 1992 et Tunisia 7 en 1997, mais elle est restée une filiale de la Société tunisienne de radio et de télévision jusqu’en 2008, a conservé le siège qu’elle partageait et la Société tunisienne de télévision avec ses chaînes de télévision nationales tunisiennes et La Tunisie 21 plus tard connue sous le nom de Télévision nationale tunisienne 2 est devenue son nouveau siège. Après le déclenchement de la révolution populaire tunisienne et la défection de zine El Abidine Ben Ali du pays, il est devenu Télévision nationale tunisienne.","sources":["http://54.36.122.126/tunisie1.m3u8"],"subtitle":"By Channel.","thumb":"https://www.histoiredesfax.com/wp-content/uploads/2015/11/Television-nationale-watania.jpg","title":"TUNISIA 1"},{"description":"Sahel TV est la plateforme unique, ouverte à la société civile, aux citoyens et à l'autorité locale de la ville et de sa région pour leur permettre de s’exprimer librement, proposer leurs idées et accéder à toutes les informations économiques, environnementale, culturelle, sportive. Vos idées et vos propositions sont les bienvenues.","sources":["http://142.44.214.231:1935/saheltv/myStream/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://mobiletv.mobibase.com/html/logo/hd/channel_ld_747.png","title":"SAHEL TV / Tunisie"},{"description":"NIGERIA TELEVISION AUTORTEAutorité a commencé sous le nom de Western Nigerian Television Services (WNTV), qui a transmis ses premiers signaux au peuple nigérian et à toute l'Afrique le 31 octobre 1959. Au début de 1962, les trois gouvernements régionaux qui existaient au Nigéria avaient mis en place le Service de télévision nigérian (NTS). Télévision ont été créés et en 1976, l'Autorité de la télévision nigériane est née en tant que seule entité responsable de Diffusion télévisée au Nigéria.","sources":["http://54.38.93.93/nta.m3u8"],"subtitle":"By Channel","thumb":"https://static.squarespace.com/static/53d2a092e4b0125510bfe57d/53d2a2c6e4b018cd23e33d7b/53d2a2c6e4b018cd23e33f6f/1362042333867/1000w/nta.jpg","title":"NTA TV / Nigeria"},{"description":"ESPACE TV est une télévision basée à Conakry dans la commune de Matoto Kondeboungny au bord de l'autoroute Fidèle Castro (République de Guinée). La télé diffuse des informations du pays et du monde en temps réel. Des magazines axés sur les réalités des terroirs et des séries de divertissement. Détenue par le groupe Hadafo Médias, cette chaîne est la première du pays en terme d'audience; selon le rapport de Stat view international en 2019.","sources":["http://46.105.114.82/espacetv.m3u8"],"subtitle":"By Channel","thumb":"https://lh3.googleusercontent.com/ric-bS2gzvt-UyrhBIEdWENN9U-fL9Bnlhv12GEYSzSkZFWEIr7hc74k83kfLPqZDk0","title":"Espace TV / Guinée"},{"description":" Movies Now is an Indian high-definition television channel featuring Hollywood films. It was launched on 19 December 2010 with a picture quality of 1080i and 5.1 surround sound. The channel is owned by The Times Group. It has exclusive content licensing from films produced or distributed by MGM and has content licensing from Universal Studios, Walt Disney Studios, Marvel Studios, 20th Century Studios, Warner Bros and Paramount Pictures.","sources":["https://timesnow.airtel.tv/live/MN_pull/master.m3u8"],"subtitle":"By Channel","thumb":"https://upload.wikimedia.org/wikipedia/en/4/49/Movies_Now_logo.png","title":"Movies Now HD"},{"description":"Tunisie Immobilier TV, la première chaîne de l’immobilier en Tunisie Vous présente toutes les semaines, les actualités immobilières et économiques en Tunisie et dans le monde à travers des reportages.contact; E-mail:tunisieimmob@planet.tn/ Tel:(+216) 71 894500.","sources":["https://5ac31d8a4c9af.streamlock.net/tunimmob/myStream/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://i2.wp.com/www.tunisieimmobiliertv.net/wp-content/uploads/2016/10/fb.jpg?fit=1024%2C500&ssl=1","title":"Tunisie Immobilier TV"}]}]}

Vue MCP Next bridges AI agents with Vue.js applications, enabling real-time component state inspection and manipulation through the Model Context Protocol. Built for AI-assisted development workflows

📞 Automated voice AI calling system using VAPI, n8n, and Airtable. Calls leads automatically, conducts natural conversations, and books appointments via Calendly. Multi-channel follow-up with email and WhatsApp.

Monitor AI CLI sessions (Claude, Gemini, Codex) with real-time state detection and native notifications.

We have come a long way since I was a child in the 1960s when all I wanted for Christmas was a slinky and some Rock’Em – Sock’Em Robots. Now imagine we have traveled ten years into the future, and it is Christmas 2031. Alexa has replaced kids’ parents and Santa Claus. Every toy is connected to the Internet and looks like a robot version of the animal it represents. Clean thermonuclear Christmas trees will be providing us with radiant, gamma-ray energy for all our holiday needs. Pogo sticks have also made a comeback, but they are solar-powered and can leap entire city blocks. And while I am busy pretending to be the Ghost of Christmas Future, I thought it would also be fun to ask the Office of the CTO team about their predictions for futuristic, technical toys. So, I posed these two questions: What cool TECHNICAL toy or gadget would you like Santa to bring you this year in 2021? As a participating member of the Office of the CTO, what cool TECHNICAL toy or gadget (that has not yet been invented) would you like Santa to bring you in 10 years from now in 2031? christmas wishlist for the octo team overlay You know what? We just might see I see a sneak preview of some of these magical tech toys of the future in just a few weeks at the CES 2022 conference. In the meantime, take a look at the wish list from all of our Extreme technical gurus: Marcus Burton – Wireless and Cloud Architect Christmas Wish 2021: Is a Tesla Cybertruck an option? I’ll even take a prototype. That will scratch several technology itches at the same time. Think about it…EV, autonomous driving, AI, 5G probably, cloud-connected, mobile-first, and all the best in materials sciences and mechanical engineering applied to trucks. What more could an outdoorsy tech guy want? Christmas Wish 2031: I’m kinda thinking that while everyone else has their brain slurped out in the metaverse (with VR!), I will prefer to go to the actual mountains. But you know, I have a wife and kids, so I have to think about safety. So here’s my wish: a smart personal device that has a full week of battery life (using ultra-thin silicon wafers) with rapid solar charging, LEO satellite connectivity (for sending “eat your heart out” 3D pics to my friends from the “there’s no 6G here” wilderness), and ultra-HD terrain feature maps for modern navigation. Carla Guzzetti – VP, Experience, Messaging & Enablement Christmas Wish 2021: I want this: Meeting Owl Pro – 360-Degree, 1080p HD Smart Video Conference Camera, Microphone, and Speaker Christmas Wish 2031: I want a gadget where we can have virtual meetings without the need for a wearable! Who wants to wear heavy goggles all day? Doug McDonald – Director of Product Management Christmas Wish 2021: As a technologist often looking for a balance between screen time and health and fitness I hope Santa brings me the Aura Strap. The Aura strap adds additional IoT sensory capabilities to compliment your Apple smartwatch. Bioelectrical impedance analysis is the cutting-edge science behind the AURA Strap. This innovation provides a way to truly see how your body changes over the course of a day. Their body composition analysis includes fat, muscle mass, minerals, and hydration; providing personalized insights that improve the results of your workouts, diet, and your lifestyle as a whole. Christmas Wish 2031: Hopefully, this innovation will be here sooner. Still, in the spirit of my first wish from Santa, I also hope to have a service engine warning light for me. The concept is utilizing advancements in biomedical sensory devices to pinpoint potential changes in your physical metrics that may help in seeking medical attention sooner than later if variances in health data occur. I spoke about this concept in the Digital Diagnosis episode of the Inflection Points podcast from the Office of the CTO. Ed Koehler – Principal Engineer Christmas Wish 2021: My answers are short and sweet. I want a nice drone with high-resolution pan, tilt, and zoom (PTZ) cameras. Christmas Wish 2031: In ten years, I want a drone that I can sit inside and fly away! Puneet Sehgal – Business Initiatives Program Manager Christmas Wish 2021: I have always wanted to enjoy the world from a bird’s eye view. Therefore, my wish is for Santa to bring me a good-quality drone camera this year. It is amazing how quickly drones have evolved from commercial /military use to becoming a personal gadget. Christmas Wish 2031: In 2031, I wish Santa could get me a virtual reality (VR) trainer to help me internalize physical motion by looking at a simulation video while sending an electrical impulse to mimic it. It will open endless possibilities, and I could become an ice skater, a karate expert, or a pianist – all in one. Maybe similar research is already being done, but we are far away from something like this maturing for practical use. So, who knows – it’s Santa after all and we are talking 2031! Tim Harrison – Director of Product Marketing, Service Provider Christmas Wish 2021: This year, I would love to extend my audio recording setup and move from a digital 24 channel mixer to a control surface that integrates with my DAW (digital audio workstation) and allows me to use my outboard microphone pre-amps. I’ve been looking at an ICON QCon Pro G2 plus one QCon EX G2 extender to give me direct control over 16 channels at once (I use 16 channels just for my drum kit). Christmas Wish 2031: Ten years from now, I sincerely hope to receive an anti-gravity platform. First, I’ll be old, and climbing stairs will have become more challenging for these creaky old bones. Secondly, who hasn’t hoped for a REAL hoverboard? Once we know what gravity is “made of,” we can start making it easier to manipulate objects on earth and make space more habitable for human physiology. Either that or a puppy. Puppy sitting Divya Balu Pazhayannur – Director of Business Initiatives Christmas Wish 2021: I’m upgrading parts of my house over the holidays and browsing online for kitchen and laundry appliances. If you had told me that I would be spending three hours reading blogs on choosing the right cooktop for me, I would not have believed you. Does it have the right power, is it reliable, is it Wi-Fi enabled, can you talk to it – I’m kidding on that last one. Having said that, I’d love to get the Bosch Benchmark Gas Stovetop. Although I can’t speak to my appliance, its minimalist look has me writing it down on my wish list for Santa. I’ll even offer him some crispy dosas in exchange. Christmas Wish 2031: Apart from flying cars and personal robot assistants, I’d love to get the gift of better connectivity. I miss my family and friends in India, and it would be amazing to engage with them through holographic technology. I imagine it would allow for a much higher level of communication than today’s ‘talking head’ approach. Although do I want my family sitting with me in my living room? Still – I’d like to think a holograph would be just fantastic. Yury Ostrovsky – Sr. Technology Manager Christmas Wish 2021: I believe 2022 will be the year of VR toys. Virtual Reality is already popular, but I believe more applications will be developed in this area. We might see radio waves coming from different sources (Wi-Fi, LTE, 5G, BT, etc.) and visualize propagation in real-time. Christmas Wish 2031: “Prediction is very difficult, especially if it’s about the future” – Niels Bohr Kurt Semba – Principal Architect Christmas Wish 2021: The Crown from Neurosity. It helps you get and stay in a deep focus to improve your work and gaming results. Christmas Wish 2031: A non-evasive health device that can quickly look deep into your body and cells and explain why you are not feeling well today. Jon Filson – Senior Producer, Content Christmas Wish 2021: I want a large rollable TV by LG. In part because I watch a lot of football. And while I have a Smart TV, I still can’t get it to connect to my Bluetooth speaker … so while I love it, I want it to work better, and isn’t that so often the way with tech? But more than that, I don’t like and have never liked that rooms have to be designed around TVs. They are big, which is fine, but they are often in the way, which is less so. They should disappear when not in use. It’s $100,000 so I don’t expect it any time soon. But it’s an idea whose time has come. Christmas Wish 2031: I cheated on this one and asked my 12-year-old son Jack what he would want. It’s the portal gun, from Rick and Morty, a show in which a crazed scientist named Rick takes his grandson Morty on wacky adventures in a multi-verse. That last part is important to me. Kids today are already well into multi-verses, while we adults are just struggling to make one decent Metaverse. The next generation is already way ahead of us digitally speaking, it’s clear. Alexey Reznik – Senior UX Designer Christmas Wish 2021: This awesome toy: DJI Mavic 2 Pro – Drone Quadcopter UAV with Hasselblad Camera 3-Axis Gimbal HDR 4K Video Adjustable Aperture 20MP 1″ CMOS Sensor, up to 48mph, Gray Christmas Wish 2031: Something along these lines: BMW Motorrad VISION NEXT 100 BMW Motorcycle Michael Rash – Distinguished Engineer – Security Christmas Wish 2021: Satechi USB-C Multiport MX Adapter – Dual 4K HDMI. Christmas Wish 2031: A virtual reality headset that actually works. Alena Amir – Senior Content and Communications Manager Christmas Wish 2021: With conversations around VR/AR and the metaverse taking the world by storm, Santa could help out with an Oculus Quest. Purely for research purposes of course! Christmas Wish 2031: The 1985 movie, Back to the Future, was a family favorite and sure we didn’t get it all exactly right by 2015 but hey, it’s almost 2022! About time we get those hoverboards! David Coleman – Director of Wireless Christmas Wish 2021: Well, it looks like drones are the #1 wish item for 2021, and I am no exception. My wife and I just bought a home in the mountains of Blue Ridge, Georgia, where there is an abundance of wildlife. I want a state-of-the-art drone for bear surveillance. Christmas Wish 2031: In ten years, I will be 71 years old, and I hope to be at least semi-retired and savoring the fruits of my long tech career. Even though we are looking to the future, I want a time machine to revisit the past. I would travel back to July 16th, 1969, and watch Apollo 11 liftoff from Cape Kennedy to the moon. I actually did that as a nine-year-old kid. Oh, and I would also travel back to 1966 and play with my Rock’Em – Sock’Em Robots. Rock'em Sock'em Robots To summarize, our peeps in the Office of the CTO all envision Christmas 2031, where the way we interact as a society will have progressed. In 2021, we already have unlimited access to information, so future tech toys might depend less on magical new technologies and more on the kinds of experiences these new technologies can create. And when those experiences can be shared across the globe in real-time, the world gains an opportunity to learn from each other and grow together in ways that would never have been possible.

Inspired by GothamChess's AI chess videos - this is an LLM harness for chess. Fixes the real problems that were causing the models to stumble; proper board state context and move validation. Pit GPT, Gemini, Claude and others head-to-head with live reasoning streams, knockout tournaments, and PGN export.

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.

With WWW being the global platform, various fields inclusive to the same have emerged until hitherto. Due to ever-changing forms of cyber Security, it has become a necessity to classify Malicious websites so as to secure personal content. In this project we have implemented The State-Of-the-Art Decision Tree Machine Learning Models such as Random Forest and Decision Tree to classify URLs as malicious or amiable. Implementation of Classification algorithms for discrete data as well as normal regression model is used in the project. Malevolent URLs have been broadly used to mount different digital assaults including spamming, phishing and malware. Recognition of malignant URLs and distinguishing proof of danger types are basic to upset these assaults. Knowing the sort of a danger empowers assessment of seriousness of the assault and embraces a viable countermeasure. Existing strategies commonly distinguish vindictive URLs of a solitary assault type. In this paper, we propose technique utilizing AI to identify malevolent URLs of all the mainstream assault types. While the World Wide Web has become a stellar application on the Internet, it has likewise gotten a massive danger of digital assaults. Enemies have utilized the Web as a vehicle to convey malignant assaults, for example, phishing, spamming, and malware contamination. For instance, phishing ordinarily includes sending an email apparently from a dependable source to deceive individuals to click a URL (Uniform Resource Locator) contained in the email that joins to a fake page. To address Web-based assaults, an incredible exertion has been coordinated towards identification of noxious URLs. A typical countermeasure is to utilize a boycott of vindictive URLs, which can be built from different sources, particularly human criticisms that are exceptionally precise yet tedious. Boycotting acquires no bogus positives, however is successful just for known noxious URLs. It can't identify obscure malevolent URLs. The very idea of careful match in boycotting these renders it simple to be sidestepped. This shortcoming of blacklisting has been tended to by oddity-based location techniques intended to identify obscure vindictive URLs. In these strategies, a characterization model dependent on discriminative principles or highlights is worked with either information from the earlier or through machine learning. Choice of discriminative standards or highlights assumes a basic function for the presentation of a locator. Online malware assaults become one in everything about chief genuine dangers that need to be tended too frantically. Numerous methodologies that have stood out as promising manners by which of safeguard work, for example, malware grasp utilizing various boycotts. Nonetheless, these standard methodologies ordinarily neglect to watch new assaults due to the adaptability of malignant sites. Consequently, it's hard to deal with state-of-the-art boycotts with data concerning new vindictive sites. Malignant location identification assumes a significant part for a few network protection applications, and unmistakably AI moves toward square measure a promising course. In mix with protection imperatives on information sets of real client traffic, its irksome for scientists and product engineers to measure hostile to malware arrangements against huge scope information sets of practical net traffic. AI strategy [1] region unit utilized so as to characterize the online deals into malignant and benevolent URLs. The appearance of ongoing correspondence innovations has had enormous contact with in the development and advancement of organizations spamming over a few applications just as web based banking, online business, and long range informal communication. In actuality, in the present age it's almost required to have a web presence to run a famous endeavour. Accordingly, the significance of the overall net has ceaselessly been expanding. Unfortunately the mechanical promotions return in expansion to new unobtrusive strategies to assault and trick client. Such assaults grasp noxious sites that sell fake stock, financial extortion by fooling clients into uncovering delicate data that in the long run cause stealing of money or character, or maybe placing in malware inside the clients framework. There square measure a huge kind of procedures to actualize such assaults, similar to explicit hacking attempts, Derive-by abuses, Denial of administration [2], Distributed refusal of administration [1] and bunches of others. Concentrating the changeability of assaults, without a doubt new assault assortments, and furthermore the unnumbered settings inside which such assaults will appears, it's exhausting to style-solid frameworks to find digital security penetrates. The restrictions of customary security the board advancements are getting to an ever increasing extent genuine given this remarkable development of new security dangers, fast changes of new IT advancements, and critical deficiency of security experts. The vast majority of these assaulting strategies are acknowledged through spreading traded off URLs. A primary exploration exertion in pernicious URL recognition has zeroed in on choosing profoundly successful discriminative highlights. Existing techniques were intended to distinguish pernicious URLs of a solitary assault type, for example, spamming, phishing, or malware. In this paper, we propose a strategy utilizing Machine Learning Algorithms on how to distinguish malevolent URLs of all the well known assault types including phishing, spamming and malware contamination, and distinguish the assault types noxious URLs endeavour to dispatch.

WatchMyBirds is a lightweight, customizable object detection application designed for real-time monitoring and birdwatching. Leveraging state-of-the-art AI models and supporting a variety of video sources—including web- and IP-cams and RTSP streams—WatchMyBirds transforms any camera into a powerful detection system.

Project Overview Welcome to the Convolutional Neural Networks (CNN) project in the AI Nanodegree! In this project, you will learn how to build a pipeline that can be used within a web or mobile app to process real-world, user-supplied images. Given an image of a dog, your algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed. Sample Output Along with exploring state-of-the-art CNN models for classification, you will make important design decisions about the user experience for your app. Our goal is that by completing this lab, you understand the challenges involved in piecing together a series of models designed to perform various tasks in a data processing pipeline. Each model has its strengths and weaknesses, and engineering a real-world application often involves solving many problems without a perfect answer. Your imperfect solution will nonetheless create a fun user experience! Project Instructions Instructions Clone the repository and navigate to the downloaded folder. git clone https://github.com/udacity/dog-project.git cd dog-project Download the dog dataset. Unzip the folder and place it in the repo, at location path/to/dog-project/dogImages. Download the human dataset. Unzip the folder and place it in the repo, at location path/to/dog-project/lfw. If you are using a Windows machine, you are encouraged to use 7zip to extract the folder. Download the VGG-16 bottleneck features for the dog dataset. Place it in the repo, at location path/to/dog-project/bottleneck_features. (Optional) If you plan to install TensorFlow with GPU support on your local machine, follow the guide to install the necessary NVIDIA software on your system. If you are using an EC2 GPU instance, you can skip this step. (Optional) If you are running the project on your local machine (and not using AWS), create (and activate) a new environment. Linux (to install with GPU support, change requirements/dog-linux.yml to requirements/dog-linux-gpu.yml): conda env create -f requirements/dog-linux.yml source activate dog-project Mac (to install with GPU support, change requirements/dog-mac.yml to requirements/dog-mac-gpu.yml): conda env create -f requirements/dog-mac.yml source activate dog-project NOTE: Some Mac users may need to install a different version of OpenCV conda install --channel https://conda.anaconda.org/menpo opencv3 Windows (to install with GPU support, change requirements/dog-windows.yml to requirements/dog-windows-gpu.yml): conda env create -f requirements/dog-windows.yml activate dog-project (Optional) If you are running the project on your local machine (and not using AWS) and Step 6 throws errors, try this alternative step to create your environment. Linux or Mac (to install with GPU support, change requirements/requirements.txt to requirements/requirements-gpu.txt): conda create --name dog-project python=3.5 source activate dog-project pip install -r requirements/requirements.txt NOTE: Some Mac users may need to install a different version of OpenCV conda install --channel https://conda.anaconda.org/menpo opencv3 Windows (to install with GPU support, change requirements/requirements.txt to requirements/requirements-gpu.txt): conda create --name dog-project python=3.5 activate dog-project pip install -r requirements/requirements.txt (Optional) If you are using AWS, install Tensorflow. sudo python3 -m pip install -r requirements/requirements-gpu.txt Switch Keras backend to TensorFlow. Linux or Mac: KERAS_BACKEND=tensorflow python -c "from keras import backend" Windows: set KERAS_BACKEND=tensorflow python -c "from keras import backend" (Optional) If you are running the project on your local machine (and not using AWS), create an IPython kernel for the dog-project environment. python -m ipykernel install --user --name dog-project --display-name "dog-project" Open the notebook. jupyter notebook dog_app.ipynb (Optional) If you are running the project on your local machine (and not using AWS), before running code, change the kernel to match the dog-project environment by using the drop-down menu (Kernel > Change kernel > dog-project). Then, follow the instructions in the notebook. NOTE: While some code has already been implemented to get you started, you will need to implement additional functionality to successfully answer all of the questions included in the notebook. Unless requested, do not modify code that has already been included. Evaluation Your project will be reviewed by a Udacity reviewer against the CNN project rubric. Review this rubric thoroughly, and self-evaluate your project before submission. All criteria found in the rubric must meet specifications for you to pass. Project Submission When you are ready to submit your project, collect the following files and compress them into a single archive for upload: The dog_app.ipynb file with fully functional code, all code cells executed and displaying output, and all questions answered. An HTML or PDF export of the project notebook with the name report.html or report.pdf. Any additional images used for the project that were not supplied to you for the project. Please do not include the project data sets in the dogImages/ or lfw/ folders. Likewise, please do not include the bottleneck_features/ folder.

Real-time Kubernetes dashboard for SREs — live cluster state, drain wizard, YAML editor, just-in-time exec access, cost analysis, and AI diagnosis in a single binary

This project involves the development of an AI-powered system designed for real-time vehicle detection, license plate recognition, and tracking from video footage. It utilizes a combination of state-of-the-art computer vision techniques and deep learning models for accurate identification and extraction of vehicle and license plate information.

Our Real Estate Search Engine is a cutting-edge platform designed specifically for the Andorran property market. Utilizing OpenAI's GPT-4o-mini with carefully crafted system prompts, the search engine offers precise and efficient property search capabilities. This approach ensures that users receive the most relevant results quickly and efficiently

Executive Order Corp – AI-IoTBPM server is IoT Internet of Things Drools-BPM (Business Process Management) engine for IoT Device Orchestration and IoT device ontology (AI-IoT device awareness, state of being, knowledge of real-world objects, events, situations, and abstract concepts). Executive Order Corp - AI-IoTBPM MQTT Telemetry Transport Machine-to-Machine(M2M) / Internet of Things (IoT) AI-IoTBPM :: Executive Order AI-IoTBPM Tron Sensor Processor MQTT AI-IoTBPM Client using EOSpy AI-IoTBPM Drools-jBPM.

The earliest work in computerized knowledge representation was focused on general problem solvers such as the General Problem Solver (GPS) system developed by Allen Newell and Herbert A. Simon in 1959. These systems featured data structures for planning and decomposition. The system would begin with a goal. It would then decompose that goal into sub-goals and then set out to construct strategies that could accomplish each subgoal. In these early days of AI, general search algorithms such as A* were also developed. However, the amorphous problem definitions for systems such as GPS meant that they worked only for very constrained toy domains (e.g. the "blocks world"). In order to tackle non-toy problems, AI researchers such as Ed Feigenbaum and Frederick Hayes-Roth realized that it was necessary to focus systems on more constrained problems. These efforts led to the cognitive revolution in psychology and to the phase of AI focused on knowledge representation that resulted in expert systems in the 1970s and 80s, production systems, frame languages, etc. Rather than general problem solvers, AI changed its focus to expert systems that could match human competence on a specific task, such as medical diagnosis. Expert systems gave us the terminology still in use today where AI systems are divided into a Knowledge Base with facts about the world and rules and an inference engine that applies the rules to the knowledge base in order to answer questions and solve problems. In these early systems the knowledge base tended to be a fairly flat structure, essentially assertions about the values of variables used by the rules.[2] In addition to expert systems, other researchers developed the concept of frame-based languages in the mid-1980s. A frame is similar to an object class: It is an abstract description of a category describing things in the world, problems, and potential solutions. Frames were originally used on systems geared toward human interaction, e.g. understanding natural language and the social settings in which various default expectations such as ordering food in a restaurant narrow the search space and allow the system to choose appropriate responses to dynamic situations. It was not long before the frame communities and the rule-based researchers realized that there was synergy between their approaches. Frames were good for representing the real world, described as classes, subclasses, slots (data values) with various constraints on possible values. Rules were good for representing and utilizing complex logic such as the process to make a medical diagnosis. Integrated systems were developed that combined Frames and Rules. One of the most powerful and well known was the 1983 Knowledge Engineering Environment (KEE) from Intellicorp. KEE had a complete rule engine with forward and backward chaining. It also had a complete frame based knowledge base with triggers, slots (data values), inheritance, and message passing. Although message passing originated in the object-oriented community rather than AI it was quickly embraced by AI researchers as well in environments such as KEE and in the operating systems for Lisp machines from Symbolics, Xerox, and Texas Instruments.[3] The integration of Frames, rules, and object-oriented programming was significantly driven by commercial ventures such as KEE and Symbolics spun off from various research projects. At the same time as this was occurring, there was another strain of research that was less commercially focused and was driven by mathematical logic and automated theorem proving. One of the most influential languages in this research was the KL-ONE language of the mid-'80s. KL-ONE was a frame language that had a rigorous semantics, formal definitions for concepts such as an Is-A relation.[4] KL-ONE and languages that were influenced by it such as Loom had an automated reasoning engine that was based on formal logic rather than on IF-THEN rules. This reasoner is called the classifier. A classifier can analyze a set of declarations and infer new assertions, for example, redefine a class to be a subclass or superclass of some other class that wasn't formally specified. In this way the classifier can function as an inference engine, deducing new facts from an existing knowledge base. The classifier can also provide consistency checking on a knowledge base (which in the case of KL-ONE languages is also referred to as an Ontology).[5] Another area of knowledge representation research was the problem of common sense reasoning. One of the first realizations learned from trying to make software that can function with human natural language was that humans regularly draw on an extensive foundation of knowledge about the real world that we simply take for granted but that is not at all obvious to an artificial agent. Basic principles of common sense physics, causality, intentions, etc. An example is the frame problem, that in an event driven logic there need to be axioms that state things maintain position from one moment to the next unless they are moved by some external force. In order to make a true artificial intelligence agent that can converse with humans using natural language and can process basic statements and questions about the world, it is essential to represent this kind of knowledge. One of the most ambitious programs to tackle this problem was Doug Lenat's Cyc project. Cyc established its own Frame language and had large numbers of analysts document various areas of common sense reasoning in that language. The knowledge recorded in Cyc included common sense models of time, causality, physics, intentions, and many others.[6] The starting point for knowledge representation is the knowledge representation hypothesis first formalized by Brian C. Smith in 1985:[7] Any mechanically embodied intelligent process will be comprised of structural ingredients that a) we as external observers naturally take to represent a propositional account of the knowledge that the overall process exhibits, and b) independent of such external semantic attribution, play a formal but causal and essential role in engendering the behavior that manifests that knowledge. Currently one of the most active areas of knowledge representation research are projects associated with the Semantic Web. The Semantic Web seeks to add a layer of semantics (meaning) on top of the current Internet. Rather than indexing web sites and pages via keywords, the Semantic Web creates large ontologies of concepts. Searching for a concept will be more effective than traditional text only searches. Frame languages and automatic classification play a big part in the vision for the future Semantic Web. The automatic classification gives developers technology to provide order on a constantly evolving network of knowledge. Defining ontologies that are static and incapable of evolving on the fly would be very limiting for Internet-based systems. The classifier technology provides the ability to deal with the dynamic environment of the Internet. Recent projects funded primarily by the Defense Advanced Research Projects Agency (DARPA) have integrated frame languages and classifiers with markup languages based on XML. The Resource Description Framework (RDF) provides the basic capability to define classes, subclasses, and properties of objects. The Web Ontology Language (OWL) provides additional levels of semantics and enables integration with classification engines.[8][9]

Unlock the potential of AI-driven solutions and delve into the world of Large Language Models. Explore cutting-edge concepts, real-world applications, and best practices to build powerful systems with these state-of-the-art models.

Identify the images as real or fake using state-of-the-art AI models

A real-time, voice-based AI companion designed to listen, understand the user's emotional state, and respond with context-aware empathy.

This project uses the DINOv3 (self-distillation with no labels v3) model for real-time object tracking. DINOv3 is a state-of-the-art computer vision model developed by Meta AI. It is trained using self-supervised learning, meaning it learns rich visual features from images without requiring any manual annotations.

this project adds value by bridging multiple cutting-edge technologies (FHIR-based ETL, robust ML tracking, vector-augmented LLMs, and containerized cloud deployment) into a cohesive platform. It advances the state of the art in healthcare AI by making an advanced risk-detection and QA system demonstrably deployable in a real-world context.

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AI-native distributed database for agent memory and real-time state. Unifies KV, vector search, and temporal graph in a single Rust engine with Raft consensus

Built a human-aware AI system that predicts emotional state and intensity from noisy text and contextual signals, then recommends personalized actions and timing. Includes uncertainty estimation, decision logic, and robustness for real-world imperfect data.

RealVision: A powerful, real-time object detection and understanding application using Python, OpenCV, and state-of-the-art AI models. Features dual model support (YOLO v8 + MobileNet-SSD), object tracking, performance monitoring, and modern GUI interface.

Built a human-aware AI system that predicts emotional state and intensity from noisy text and contextual signals, then recommends personalized actions and timing. Includes uncertainty estimation, decision logic, and robustness for real-world imperfect data.