Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.
An advanced AI-powered fake news detection system that verifies text, images, and social media posts using Gemini AI, FastAPI, and Next.js. Includes a modern web interface, a lightweight Streamlit app, and a Chrome extension for real-time fake content detection. Built to combat misinformation with explainable AI results and contextual source links.
Topological Hashing Registry for Chaos Resilience.
Records of experiments testing the reproducibility of LLM workloads on datacenter GPUs. Key novelty: Non-associativity is a "fingerprint" of an inference stack and implementation.
Four Tests Standard (4TS) - Vendor-neutral specification for verifiable AI governance
Semantic Flow Language (SFL) is a framework that aligns human intent, AI reasoning, and executable logic. It ensures bidirectional synchronization between meaning and code, allowing for reliable, transparent, and verifiable AI-driven development across various environments.
Decentralized public fund management system with AI verification, blockchain governance, and transparent fund allocation using Ethereum smart contracts.
Add a description, image, and links to the ai-verification topic page so that developers can more easily learn about it.
To associate your repository with the ai-verification topic, visit your repo's landing page and select "manage topics."