zKML is a privacy-centric machine learning platform that operates on the Ethereum blockchain. It utilises Zero Knowledge Proof technology to enhance privacy and security in artificial intelligence and blockchain applications. The platform aims to address challenges related to privacy, security, and data usage in machine learning processes.
zKML integrates zero-knowledge proofs (ZKPs) with machine learning to provide privacy, security, and verifiability in blockchain applications. It uses technologies like zk-SNARKs for generating verifiable proofs of computations, and it can implement consensus algorithms such as Hotstuff/Tendermint through Halo2. By leveraging these technologies, zKML enables dynamic smart contracts that can adjust to real-time on-chain data through machine learning capabilities.
zKML's combination of zero-knowledge proofs and machine learning opens up numerous applications across various industries. Potential use cases include:
zKML was founded by Brian Retford, Jason Morton, and Ryan Cao, with Retford’s background in cybersecurity shaping the project's focus on privacy and security. Key milestones include the development of the zKOS operating system and Mobile-zKOS, partnerships with initiatives like WorldCoin, and expansion into DeFi protocols. The technology has evolved from a nascent concept to a versatile protocol with applications spanning DeFi, gaming, identity verification, and overall blockchain infrastructure.