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awesome-blockchain-ai

by steven2358

awesome listpushed over 2 years ago

A curated list of Blockchain projects for Artificial Intelligence and Machine Learning

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Blockchain-AI projects

A curated list of projects exploring the intersection of blockchain and AI technologies

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What's in the list

44 links in 9 sections, with live GitHub stats.activeno commit in 2y

  • Blockchain

    "A blockchain is a growing list of records, called blocks, which are linked using cryptography."

  • 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."

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 blockchain-powered decentralized computing platform

  • 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

  • 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

  • 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

  • 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

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

  • doc.ai

    doc.ai aims to decentralize precision medicine on the blockchain by using AI

  • BurstIQ

    Healthcare data marketplace with granular ownership and granular consent of data. By using on-chain storage on a custom blockchain, BurstIQ can comply with HIPAA, GDPR, and other regulations

Academic Research

  • Coin.AI

    Baldominos, A., & Saez, Y. (2019). Coin.AI: A proof-of-useful-work scheme for blockchain-based distributed deep learning. , 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 (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.

  • Proof of Deep Learning

    Chenli, C., Li, B., Shi, Y., & Jung, T. (2019, May). Energy-recycling blockchain with proof-of-deep-learning. In (pp. 19-23). IEEE

  • BlockML

    Merlina, A. (2019, December). BlockML: a useful proof of work system based on machine learning tasks. In (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. , 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.

  • Decentralized and Collaborative AI on Blockchain

    Harris, J. D., & Waggoner, B. (2019, July). Decentralized and collaborative AI on blockchain. In (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 (pp. 142-153). Springer, Cham

  • Hyperparameter Optimization

    Mittal, A., & Aggarwal, S. (2020). Hyperparameter optimization using sustainable proof of work 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. , 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 (pp. 1-3). IEEE

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