Running machine learning model inference on or verified by a blockchain.
Running machine learning model inference on or verified by a blockchain. Because blockchains are slow and expensive, most on-chain inference uses off-chain computation with on-chain verification via zero-knowledge proofs (zkML) or optimistic verification. EZKL, Modulus Labs, Giza, and Ritual are building infrastructure for this. Use cases include verifiable AI credit scoring in DeFi, AI oracle feeds, and trustless prediction markets. True on-chain LLM inference isn't feasible yet due to compute costs.
A blockchain oracle that uses machine learning models to provide predictions, classifications, or AI-generated insights to smart contracts.
The intersection of artificial intelligence and blockchain technology.
Cryptographic proofs that verify something is true without revealing the underlying data.
Self-executing code stored on a blockchain that runs when conditions are met.
An autonomous program that can perceive on-chain data, make decisions using machine learning models, and execute blockchain transactions without human intervention.
A cryptocurrency token associated with a project building at the intersection of artificial intelligence and blockchain.
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