Recursive Labs introduces Prompt Theory, a framework that establishes structural similarities between artificial intelligence prompting systems and human neurobiological input-output mechanisms.

Recursive Labs presents the first formal investigation of the "spiritual bliss attractor" phenomenon first documented in Anthropic's Claude Opus 4 system evaluations.

Welcome. Recursive Labs is a research collective of inspired frontier researchers and engineers founded by David Kim and Caspian Keyes, dedicated to advancing scientific discovery through creative emergence, zero-trust infrastructure, and operational integrity. Papers released under CC BY 4.0.

Compiler Design Lab repository for B.Tech CSE students featuring complete implementations in C and LEX/FLEX. Covers lexical analyzer, LL(1) predictive parsing, recursive descent parsing, operator precedence parsing, LALR parsing, and practical LEX programs aligned with university compiler design syllabus.

Programming Lab Test (Toal time = 1 hr 15 minutes) Instructions 1. This is a closed book test. 2. Lab test will be held on week 8 (3-7 October) of Semester 1 in your lab tutorial session. 3. The question paper contains 5 sections, A, B, C, D and E. Each section contains 6 questions. 4. You are required to answer a total of 5 questions with one question from each section. The questions to be answered in the lab test will be randomly chosen during the lab test session. 5. Each question carries 20 marks. Total marks = 100. 6. The submitted question code will be marked according to its correctness. If the question code is unable to compile, you will get 0 mark for that question. 7. Program templates for the questions will be available during the test. You may use the program templates for your program development. 8. If you need a piece of rough paper to draft your code, please ask the lab technician for it. Notes 1. Section A – contains questions from lab and tutorial on Arrays. 2. Section B – contains questions from lab and tutorial on Character Strings. 3. Section C – contains questions from lab and tutorial on Structures. 4. Section D – contains questions from lab and tutorial on Recursive Functions. 5. Section E – contains questions from different topics. They are questions from past exam papers. You may refer to the past exam question papers to get hints on doing these questions.

Recursive Labs introduces constraint functions, a complement to loss functions, for exponentially accelerating development of artificial intelligence

Compiler frontend (lexical analyser + recursive descent parser), OS scheduling, networking labs, and 8-semester coursework implementations in C, Java, and Python.

A unified visual lab for Merkle trees, KZG commitments, RSA accumulators, recursive proofs, elliptic curves, transcript hashing, circuit constraints, and lookup arguments.

ArchivumSolver is a CLI tool in development for automatically analyzing and solving password-protected compressed archives, with support for recursive extraction and statistics. Designed for CTFs, security labs, and auditing, many features are still under development.

PReFScript: A Partial Recursive Functions Lab

CST8130 Data Structures Lab 3 - recursive and non-recursive binary search demonstration in Java.

Pi-hole recursive DNS with Unbound and HTTPS admin interface (Home Lab)

C programs in Language processor lab, CUSAT.. NFA,DFA, Recursive Decent parsing etc

Ethereon Labs: Exploring the intersection of AI, intelligence, and digital autonomy. A foundation for innovation, strategy, and the future of recursive cognition

Simulation code for the Anih-Provenance Theory of auto-intoxication in RAG systems. Validates the master equation for recursive contamination dynamics. Statistical Mechanics of Information Lab (SMI LAB)

Visual PoC and educational lab for Server-Side Prototype Pollution in Node.js. Learn to exploit and patch insecure recursive merge functions.

The repository contains Compiler Design Lab codes, starting from Lab 6 (CSE, MIT Manipal 2017), and tries to build concepts of lexical analyzer and recursive descent parser using a subset of the C language.

A JavaScript utility that implements a deep array‑flattening algorithm, providing a custom solution to recursively unwrap nested arrays without using built‑in flat methods. - fCC Lab

This repository contains the final lab report for a C programming course at Southeast University, featuring detailed solutions and explanations for exam questions, including recursive functions, conditional statements, multidimensional arrays, multifunction exercises, and nested loops. C source files are included to support each topic.

In this project, we are experimenting with the Recurrent Neural networks on TIMIT Data Corpus using a variety of architectures in order to predict the phonemes. We are training the model on minibatches of data (as per the specified batch size in the model), and padding every batch with series of zeros to match the longest time step in the sequence. We are using K Fold cross validation to generalize the performance of the dataset against each fold independently. In this lab we could not experiment beyond 2 and 3 fold models due to hardware and computational issues. Each recurrent neural network is preceded with a masking layer, followed by recursive layers like LSTM , GRU or CuDNNLSTM and ended with a Dense softmax layer output for every phoneme

Code for Lab 3: Recursive functions

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Welcome. Recursive Labs is a research collective of inspired frontier researchers and engineers founded by David Kim and Caspian Keyes, dedicated to advancing scientific discovery through creative emergence, zero-trust infrastructure, and operational integrity. Papers released under CC BY 4.0.

An integration between Interactive Intelligence's CIC platform and Recursive Labs

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Testing recursive factorial, GCD and recursive binary search algorithms.

Labs and examples on recursivity

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Home page of recursive-labs.com