249 lines
13 KiB
HTML
249 lines
13 KiB
HTML
<h1 id="awesome-blockchain-ai-awesome">Awesome Blockchain AI <a
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href="https://awesome.re"><img src="https://awesome.re/badge.svg"
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alt="Awesome" /></a></h1>
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<blockquote>
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<p>A curated list of Blockchain projects for Artificial Intelligence and
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Machine Learning.</p>
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</blockquote>
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<p>This list explores awesome projects that exploit the properties of
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blockchain technologies (decentralization, immutability, smart
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contracts, etc.) to build the next generation of AI systems.</p>
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<h2 id="contents">Contents</h2>
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<ul>
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<li><a href="#recommended-reading">Recommended reading</a></li>
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<li><a href="#blockchains-for-ai-algorithms">Blockchains for AI
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algorithms</a></li>
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<li><a href="#blockchains-for-data">Blockchains for data</a></li>
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<li><a href="#blockchains-for-computation">Blockchains for
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computation</a></li>
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<li><a href="#blockchains-for-ai-in-finance">Blockchains for AI in
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finance</a></li>
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<li><a href="#blockchains-for-ai-in-medicine">Blockchains for AI in
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medicine</a></li>
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<li><a href="#blockchains-for-ai-in-supply-chains">Blockchains for AI in
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supply chains</a></li>
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<li><a href="#academic-research">Academic Research</a></li>
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</ul>
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<h2 id="recommended-reading">Recommended reading</h2>
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<h3 id="wikipedia">Wikipedia</h3>
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<ul>
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<li><a href="https://en.wikipedia.org/wiki/Blockchain">Blockchain</a> -
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“A blockchain is a growing list of records, called blocks, which are
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linked using cryptography.”</li>
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<li><a
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href="https://en.wikipedia.org/wiki/Artificial_intelligence">Artificial
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Intelligence</a> - “In the field of computer science, artificial
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intelligence (AI), sometimes called machine intelligence, is
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intelligence demonstrated by machines, in contrast to the natural
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intelligence displayed by humans and other animals.”</li>
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<li><a href="https://en.wikipedia.org/wiki/Machine_learning">Machine
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Learning</a> - “Machine learning (ML) is the scientific study of
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algorithms and statistical models that computer systems use to
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effectively perform a specific task without using explicit instructions,
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relying on patterns and inference instead.”</li>
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</ul>
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<h3 id="blockchain-ai-and-machine-learning">Blockchain, AI and Machine
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Learning</h3>
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<ul>
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<li><a
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href="https://www.linkedin.com/pulse/decentralizing-ai-dreamers-vs-pragmatists-jesus-rodriguez">Decentralizing
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AI: Dreamers vs. Pragmatists.</a> - Jesus Rodriguez, May 23, 2019.</li>
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<li><a
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href="https://www.nytimes.com/2018/10/20/technology/how-the-blockchain-could-break-big-techs-hold-on-ai.html">How
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the Blockchain Could Break Big Tech’s Hold on A.I.</a> - New York Times,
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October 20, 2018.</li>
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<li><a
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href="https://hackernoon.com/how-to-actually-combine-ai-and-blockchain-in-one-platform-ef937e919ec2">How
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to Actually Combine AI and Blockchain in One Platform</a> - Hacker Noon,
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June 7, 2018.</li>
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<li><a
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href="https://medium.com/@FEhrsam/blockchain-based-machine-learning-marketplaces-cb2d4dae2c17">Blockchain-based
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Machine Learning Marketplaces</a> - Fred Ehrsam, March 13, 2018.</li>
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<li><a
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href="https://medium.com/@Francesco_AI/the-convergence-of-ai-and-blockchain-whats-the-deal-60c618e3accc">The
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convergence of AI and Blockchain: what’s the deal?</a> - Francesco
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Corea, December 1, 2017.</li>
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</ul>
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<h2 id="blockchains-for-ai-algorithms">Blockchains for AI
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algorithms</h2>
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<ul>
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<li><a href="https://singularitynet.io/">SingularityNET</a> -
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SingularityNET is a distributed AI platform on the Ethereum blockchain,
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with each blockchain node backing up an AI algorithm.</li>
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<li><a href="https://intuitionfabric.com">Intuition Fabric</a> - The
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goal of Intuition Fabric is to democratize access to AI through a
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network of deep learning models that are stored on the interplanetary
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file system and accessed through the Ethereum blockchain.</li>
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<li><a href="https://openmined.org/">OpenMined</a> - OpenMined is a
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community focused on building open-source technology for the
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decentralized ownership of data and intelligence. With OpenMined, AI can
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be trained on data that it never has access to.</li>
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<li><a href="https://www.ravenprotocol.com/">Raven Protocol</a> - Raven
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Protocol is a decentralized and distributed deep-learning training
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protocol.</li>
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<li><a href="https://thought.live/">Thought Network</a> - Thought’s
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blockchain-enabled Fabric fundamentally changes applications by
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embedding artificial intelligence into every bit of data making it
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agile, actionable and inherently secure.</li>
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<li><a href="https://www.matrix.io/">MATRIX AI</a> - The Matrix AI
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Network is a public chain that combines AI technology with blockchain
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technology to solve the major challenges currently stifling the
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development and adoption of blockchain technology. Matrix is poised to
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revolutionize and democratize the field of Artificial Intelligence using
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a blockchain-powered decentralized computing platform.</li>
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<li><a href="https://www.cortexlabs.ai/">Cortex Labs</a> - Cortex Labs
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is a decentralized AI platform with a virtual machine that allows you to
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execute AI programs on-chain.</li>
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<li><a href="https://fetch.ai/">Fetch.ai</a> - Fetch.ai is a
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decentralized machine learning platform based on a distributed ledger,
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that enables secure sharing, connection and transactions based on any
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data globally.</li>
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<li><a href="https://orai.io/">Oraichain</a> - Oraichain is the world’s
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first intelligent and secure solution for emerging Web3, scalable Dapps,
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and decentralized AI.</li>
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<li><a href="https://bittensor.com/">Bittensor</a> - Bittensor is an
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open-source protocol that powers a decentralized, blockchain-based
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machine learning network. <a href="https://taostats.io/links/">Related
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resources.</a></li>
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<li><a href="https://alethea.ai/">Alethea AI</a> - A research and
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development studio building at the intersection of Generative AI and
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Blockchain.</li>
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<li><a href="https://www.vannalabs.ai/">Vanna Labs</a> - An Ethereum L2
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rollup that supports native, seamless, and trustless AI/ML inferences
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on-chain to empower decentralized applications.</li>
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</ul>
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<h3 id="blockchain-projects-for-ai-algorithms">Blockchain projects for
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AI algorithms</h3>
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<ul>
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<li><a href="https://github.com/algorithmiaio/danku">Danku</a> - A
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blockchain-based protocol for evaluating and purchasing ML models on a
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public blockchain such as Ethereum. <a
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href="https://algorithmia.com/research/ml-models-on-blockchain">Blog
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post.</a></li>
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<li><a href="https://github.com/microsoft/0xDeCA10B">Decentralized &
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Collaborative AI on Blockchain</a> - 0xDeCA10B is a framework to host
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and train publicly available machine learning models in smart contracts
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with incentive mechanisms to encourage good quality training data while
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keeping the models free to use for prediction. <a
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href="https://www.microsoft.com/en-us/research/blog/leveraging-blockchain-to-make-machine-learning-models-more-accessible/">Blog
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post.</a></li>
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</ul>
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<h2 id="blockchains-for-data">Blockchains for data</h2>
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<ul>
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<li><a href="https://oceanprotocol.com/">Ocean Protocol</a> - Ocean
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Protocol is a decentralized data exchange protocol that lets people
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share and monetize data while guaranteeing control, auditability,
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transparency and compliance to all actors involved. Its network handles
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storing of the metadata (i.e. who owns what), links to the data itself,
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and more.</li>
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</ul>
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<h2 id="blockchains-for-computation">Blockchains for computation</h2>
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<ul>
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<li><a href="https://truebit.io/">TrueBit</a> - TrueBit gives Ethereum
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smart contracts a computational boost.</li>
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<li><a href="https://www.deepbrainchain.org/">DeepBrain Chain</a> - A
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decentralized AI computing platform that supplies processing power to
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companies looking to develop A.I. technologies.</li>
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<li><a href="https://www.nunet.io/">Nunet</a> - A globally decentralized
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computing framework that combines latent computing power of
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independently owned compute devices across the globe into a dynamic
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marketplace of compute resources.</li>
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<li><a href="https://phala.network/">Phala Network</a> - A decentralized
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off-chain compute infrastructure for Web3 development.</li>
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</ul>
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<h2 id="blockchains-for-ai-in-finance">Blockchains for AI in
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finance</h2>
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<ul>
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<li><a href="https://numer.ai/">Numerai</a> - Numerai is a hedge fund
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powered by a network of anonymous data scientists that build machine
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learning models to operate on encrypted data and stake cryptocurrency to
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express confidence in their models.</li>
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<li><a href="https://cindicator.com/">Cindicator</a> - Cindicator is a
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crowd-sourced prediction engine for financial and crypto
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indicators.</li>
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<li><a href="https://erasure.xxx/">Erasure</a> - Erasure is a
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decentralized protocol and data marketplace for financial
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predictions.</li>
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</ul>
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<h2 id="blockchains-for-ai-in-medicine">Blockchains for AI in
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medicine</h2>
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<ul>
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<li><a href="https://doc.ai/about">doc.ai</a> - doc.ai aims to
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decentralize precision medicine on the blockchain by using AI.</li>
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<li><a href="https://www.burstiq.com/">BurstIQ</a> - Healthcare data
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marketplace with granular ownership and granular consent of data. By
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using on-chain storage on a custom blockchain, BurstIQ can comply with
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HIPAA, GDPR, and other regulations.</li>
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</ul>
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<h2 id="blockchains-for-ai-in-supply-chains">Blockchains for AI in
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supply chains</h2>
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<h2 id="academic-research">Academic Research</h2>
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<ul>
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<li><a href="https://doi.org/10.3390/e21080723">Coin.AI</a> -
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Baldominos, A., & Saez, Y. (2019). Coin.AI: A proof-of-useful-work
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scheme for blockchain-based distributed deep learning. <em>Entropy</em>,
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21(8), 723.</li>
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<li><a href="https://doi.org/10.1109/DAPPCON.2019.00023">WekaCoin</a> -
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Bravo-Marquez, F., Reeves, S., & Ugarte, M. (2019, April).
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Proof-of-learning: a blockchain consensus mechanism based on machine
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learning competitions. In <em>2019 IEEE International Conference on
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Decentralized Applications and Infrastructures (DAPPCON)</em>
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(pp. 119-124). IEEE.</li>
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<li><a href="https://arxiv.org/abs/1904.07349">Deep Learning-Based
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Consensus</a> - Li, B., Chenli, C., Xu, X., Shi, Y., & Jung, T.
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(2019). DLBC: A Deep Learning-Based Consensus in Blockchains for Deep
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Learning Services. <em>arXiv preprint arXiv:1904.07349</em>.</li>
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<li><a href="https://doi.org/10.1109/BLOC.2019.8751419">Proof of Deep
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Learning</a> - Chenli, C., Li, B., Shi, Y., & Jung, T. (2019, May).
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Energy-recycling blockchain with proof-of-deep-learning. In <em>2019
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IEEE International Conference on Blockchain and Cryptocurrency
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(ICBC)</em> (pp. 19-23). IEEE.</li>
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<li><a href="https://doi.org/10.1145/3366624.3368156">BlockML</a> -
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Merlina, A. (2019, December). BlockML: a useful proof of work system
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based on machine learning tasks. In <em>Proceedings of the 20th
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International Middleware Conference Doctoral Symposium</em>
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(pp. 6-8).</li>
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<li><a href="https://doi.org/10.1109/ACCESS.2020.2981447">Convergence of
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AI and DLT</a> - Pandl, K. D., Thiebes, S., Schmidt-Kraepelin, M., &
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Sunyaev, A. (2020). On the convergence of artificial intelligence and
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distributed ledger technology: A scoping review and future research
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agenda. <em>IEEE Access</em>, 8, 57075-57095.</li>
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<li><a href="https://arxiv.org/abs/2007.15145">Proof of Learning</a> -
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Lan, Y., Liu, Y., & Li, B. (2020). Proof of Learning (PoLe):
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Empowering Machine Learning with Consensus Building on Blockchains.
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<em>arXiv preprint arXiv:2007.15145</em>.</li>
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<li><a
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href="https://doi.org/10.1109/Blockchain.2019.00057">Decentralized and
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Collaborative AI on Blockchain</a> - Harris, J. D., & Waggoner, B.
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(2019, July). Decentralized and collaborative AI on blockchain. In
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<em>2019 IEEE International Conference on Blockchain (Blockchain)</em>
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(pp. 368-375). IEEE.</li>
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<li><a href="https://doi.org/10.1007/978-3-030-59638-5_10">Decentralized
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and Collaborative AI on Blockchain</a> - Harris, J. D. (2020,
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September). Analysis of Models for Decentralized and Collaborative AI on
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Blockchain. In <em>International Conference on Blockchain</em>
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(pp. 142-153). Springer, Cham.</li>
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<li><a href="https://doi.org/10.3389/fbloc.2020.00023">Hyperparameter
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Optimization</a> - Mittal, A., & Aggarwal, S. (2020). Hyperparameter
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optimization using sustainable proof of work in blockchain.
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<em>Frontiers in Blockchain</em>, 3, 23.</li>
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<li><a href="https://doi.org/10.1109/TPDS.2021.3056773">Proof of
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Federated Learning</a> - Qu, X., Wang, S., Hu, Q., & Cheng, X.
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(2021). Proof of federated learning: A novel energy-recycling consensus
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algorithm. <em>IEEE Transactions on Parallel and Distributed
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Systems</em>, 32(8), 2074-2085.</li>
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<li><a href="https://doi.org/10.1109/ICBC51069.2021.9461067">Proof of
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neural architecture</a> - Li, B., Lu, Q., Jiang, W., Jung, T., &
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Shi, Y. (2021, May). A mining pool solution for novel
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proof-of-neural-architecture consensus. In <em>2021 IEEE International
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Conference on Blockchain and Cryptocurrency (ICBC)</em> (pp. 1-3).
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IEEE.</li>
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</ul>
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<h2 id="license">License</h2>
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<p><a href="https://creativecommons.org/publicdomain/zero/1.0/"><img
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src="http://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg"
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alt="CC0" /></a></p>
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<p>To the extent possible under law, <a
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href="https://github.com/steven2358">Steven Van Vaerenbergh</a> has
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waived all copyright and related or neighboring rights to this work.</p>
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