Verifiable Decentralized and Distributed AI Systems

Описание: The provided texts offer comprehensive insights into Decentralized AI (dAI), particularly focusing on its core components, benefits, and practical applications in the Web3 space. The first source, an article from HeLa Labs, defines dAI as an approach to building AI without central control, outlining ten leading dAI projects and providing a detailed framework for evaluating new dAI projects based on criteria like verification, economics, and governance. The final source, detailing the Cyborg Network, focuses heavily on the technical mechanisms for Verifiable AI Inference at scale, specifically utilizing Zero-Knowledge Machine Learning (ZKML), model compression, and Split Learning to ensure both privacy and execution integrity across a distributed, low-latency network of edge computing devices. A brief excerpt from Wikipedia simply confirms the existence of the topic of Distributed artificial intelligence.