Blockchain
"A blockchain is a growing list of records, called blocks, which are linked using cryptography."
"A blockchain is a growing list of records, called blocks, which are linked using cryptography."
Awesome Blockchain AI
A curated list of Blockchain projects for Artificial Intelligence and Machine Learning
This page lists names, links and short descriptions. The original list on GitHub is the source and belongs to its authors.
Recommended reading >Wikipedia
Artificial Intelligence
"In the field of computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals."
Machine Learning
"Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and inference instead."
In 3 lists
Recommended reading >Blockchain, AI and Machine Learning
Decentralizing AI: Dreamers vs. Pragmatists.
Jesus Rodriguez, May 23, 2019.
How the Blockchain Could Break Big Tech's Hold on A.I.
New York Times, October 20, 2018.
How to Actually Combine AI and Blockchain in One Platform
Hacker Noon, June 7, 2018.
Blockchain-based Machine Learning Marketplaces
Fred Ehrsam, March 13, 2018.
The convergence of AI and Blockchain: what's the deal?
Francesco Corea, December 1, 2017.
Blockchains for AI algorithms
SingularityNET
SingularityNET is a distributed AI platform on the Ethereum blockchain, with each blockchain node backing up an AI algorithm.
Intuition Fabric
The goal of Intuition Fabric is to democratize access to AI through a network of deep learning models that are stored on the interplanetary file system and accessed through the Ethereum blockchain.
OpenMined
OpenMined is a community focused on building open-source technology for the decentralized ownership of data and intelligence. With OpenMined, AI can be trained on data that it never has access to.
Raven Protocol
Raven Protocol is a decentralized and distributed deep-learning training protocol.
Thought Network
Thought's blockchain-enabled Fabric fundamentally changes applications by embedding artificial intelligence into every bit of data making it agile, actionable and inherently secure.
MATRIX AI
The Matrix AI Network is a public chain that combines AI technology with blockchain technology to solve the major challenges currently stifling the development and adoption of blockchain technology. Matrix is poised to revolutionize and democratize the field of Artificial Intelligence using a…
Cortex Labs
Cortex Labs is a decentralized AI platform with a virtual machine that allows you to execute AI programs on-chain.
Fetch.ai
Fetch.ai is a decentralized machine learning platform based on a distributed ledger, that enables secure sharing, connection and transactions based on any data globally.
In 2 lists
Oraichain
Oraichain is the world's first intelligent and secure solution for emerging Web3, scalable Dapps, and decentralized AI.
Bittensor
Bittensor is an open-source protocol that powers a decentralized, blockchain-based machine learning network. Related resources.
Alethea AI
A research and development studio building at the intersection of Generative AI and Blockchain.
Vanna Labs
An Ethereum L2 rollup that supports native, seamless, and trustless AI/ML inferences on-chain to empower decentralized applications.
Blockchains for AI algorithms >Blockchain projects for AI algorithms
Danku
A blockchain-based protocol for evaluating and purchasing ML models on a public blockchain such as Ethereum. Blog post.
Decentralized & Collaborative AI on Blockchain
0xDeCA10B is a framework to host and train publicly available machine learning models in smart contracts with incentive mechanisms to encourage good quality training data while keeping the models free to use for prediction. Blog post.
Blockchains for data
Ocean Protocol
Ocean Protocol is a decentralized data exchange protocol that lets people share and monetize data while guaranteeing control, auditability, transparency and compliance to all actors involved. Its network handles storing of the metadata (i.e. who owns what), links to the data itself, and more.
Blockchains for computation
TrueBit
TrueBit gives Ethereum smart contracts a computational boost.
DeepBrain Chain
A decentralized AI computing platform that supplies processing power to companies looking to develop A.I. technologies.
Nunet
A globally decentralized computing framework that combines latent computing power of independently owned compute devices across the globe into a dynamic marketplace of compute resources.
Phala Network
A decentralized off-chain compute infrastructure for Web3 development.
Blockchains for AI in finance
Numerai
Numerai is a hedge fund powered by a network of anonymous data scientists that build machine learning models to operate on encrypted data and stake cryptocurrency to express confidence in their models.
Cindicator
Cindicator is a crowd-sourced prediction engine for financial and crypto indicators.
Erasure
Erasure is a decentralized protocol and data marketplace for financial predictions.
Blockchains for AI in medicine
Blockchains for autonomous agents
Hashgraph Online (HOL)
Universal agentic registry built on Hedera Hashgraph. Provides blockchain-based identity for AI agents using ERC-8004 standard and HCS-14 Universal Agent IDs (UAIDs). Enables agent discovery, verification, and autonomous commerce via x402 protocol.
In 2 lists
AgentFund
A decentralized crowdfunding infrastructure for autonomous AI agents on Base blockchain, enabling milestone-based escrow funding for AI projects and collaborations.
In 2 lists
Academic Research
Coin.AI
Baldominos, A., & Saez, Y. (2019). Coin.AI: A proof-of-useful-work scheme for blockchain-based distributed deep learning. Entropy, 21(8), 723.
WekaCoin
Bravo-Marquez, F., Reeves, S., & Ugarte, M. (2019, April). Proof-of-learning: a blockchain consensus mechanism based on machine learning competitions. In 2019 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPCON) (pp. 119-124). IEEE.
Deep Learning-Based Consensus
Li, B., Chenli, C., Xu, X., Shi, Y., & Jung, T. (2019). DLBC: A Deep Learning-Based Consensus in Blockchains for Deep Learning Services. arXiv preprint arXiv:1904.07349.
Proof of Deep Learning
Chenli, C., Li, B., Shi, Y., & Jung, T. (2019, May). Energy-recycling blockchain with proof-of-deep-learning. In 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC) (pp. 19-23). IEEE.
BlockML
Merlina, A. (2019, December). BlockML: a useful proof of work system based on machine learning tasks. In Proceedings of the 20th International Middleware Conference Doctoral Symposium (pp. 6-8).
Convergence of AI and DLT
Pandl, K. D., Thiebes, S., Schmidt-Kraepelin, M., & Sunyaev, A. (2020). On the convergence of artificial intelligence and distributed ledger technology: A scoping review and future research agenda. IEEE Access, 8, 57075-57095.
Proof of Learning
Lan, Y., Liu, Y., & Li, B. (2020). Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains. arXiv preprint arXiv:2007.15145.
Decentralized and Collaborative AI on Blockchain
Harris, J. D., & Waggoner, B. (2019, July). Decentralized and collaborative AI on blockchain. In 2019 IEEE International Conference on Blockchain (Blockchain) (pp. 368-375). IEEE.
Decentralized and Collaborative AI on Blockchain
Harris, J. D. (2020, September). Analysis of Models for Decentralized and Collaborative AI on Blockchain. In International Conference on Blockchain (pp. 142-153). Springer, Cham.
Hyperparameter Optimization
Mittal, A., & Aggarwal, S. (2020). Hyperparameter optimization using sustainable proof of work in blockchain. Frontiers in Blockchain, 3, 23.
Proof of Federated Learning
Qu, X., Wang, S., Hu, Q., & Cheng, X. (2021). Proof of federated learning: A novel energy-recycling consensus algorithm. IEEE Transactions on Parallel and Distributed Systems, 32(8), 2074-2085.
Proof of neural architecture
Li, B., Lu, Q., Jiang, W., Jung, T., & Shi, Y. (2021, May). A mining pool solution for novel proof-of-neural-architecture consensus. In 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC) (pp. 1-3). IEEE.
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