Awesome Blockchain AI

Awesome Blockchain AI

A curated, open-source directory of blockchain-based projects and resources related to artificial intelligence and machine learning.

Website: https://github.com/steven2358/awesome-blockchain-ai#readme
Category: Themed Directories
Tags: blockchain, AI, machine-learning

Overview

Awesome Blockchain AI is a community-maintained list that catalogs projects and references at the intersection of blockchain and AI/ML. It focuses on how decentralization, immutability, and smart contracts are used to build and deploy AI systems.

Features

1. Structured Thematic Sections

The directory organizes content into multiple sections to help users navigate the blockchain–AI landscape:

• Recommended reading
• Blockchains for AI algorithms
• Blockchains for data
• Blockchains for computation
• Blockchains for AI in finance
• Blockchains for AI in medicine
• Blockchains for AI in supply chains
• Academic research

2. Recommended Reading

Curated background material on core concepts and their convergence:

• Wikipedia fundamentals

  • Blockchain – overview of blockchain as a cryptographically linked list of records (blocks).
  • Artificial Intelligence – high-level definition and scope of AI.
  • Machine Learning – definition and description of ML as data-driven, pattern-based modeling.

• Blockchain, AI and Machine Learning (articles & essays)

  • “Decentralizing AI: Dreamers vs. Pragmatists” – Jesus Rodriguez (May 23, 2019), discussion of decentralizing AI.
  • “How the Blockchain Could Break Big Tech's Hold on A.I.” – New York Times (Oct 20, 2018), about blockchain’s potential impact on AI concentration.
  • “How to Actually Combine AI and Blockchain in One Platform” – Hacker Noon (June 7, 2018), practical approaches to combining AI and blockchain.
  • “Blockchain-based Machine Learning Marketplaces” – Fred Ehrsam (Mar 13, 2018), exploration of ML marketplaces enabled by blockchain.
  • “The convergence of AI and Blockchain: what's the deal?” – Francesco Corea (Dec 1, 2017), high-level overview of the convergence.

3. Blockchains for AI Algorithms

Projects focused on hosting, distributing, or coordinating AI algorithms via blockchain:

• SingularityNET – https://singularitynet.io/

  • Distributed AI platform on the Ethereum blockchain.
  • Each blockchain node backs up an AI algorithm.

• Intuition Fabric – https://intuitionfabric.com

  • Aims to democratize access to AI through a network of deep learning models.
  • Models are stored on the InterPlanetary File System (IPFS).
  • Access and coordination are handled through the Ethereum blockchain.

• OpenMined – https://openmined.org/

  • Community focused on open-source tools for decentralized ownership of data and intelligence.
  • Enables training AI on data it never directly accesses (privacy-preserving / federated-style approaches).

• Raven Protocol – https://www.ravenprotocol.com/

  • (Entry included in the list; description in the source is truncated, but categorized under blockchains for AI algorithms.)

4. Application-Oriented Sections (Listed in Contents)

While detailed entries are not fully shown in the provided excerpt, the directory explicitly organizes projects and references by domain:

• Blockchains for data – likely focuses on decentralized data storage, data marketplaces, and data governance for AI.
• Blockchains for computation – likely covers decentralized compute networks for running AI workloads.
• Blockchains for AI in finance – projects applying blockchain+AI in financial services.
• Blockchains for AI in medicine – applications in healthcare and medical data.
• Blockchains for AI in supply chains – AI + blockchain solutions for logistics and supply chain transparency.
• Academic research – research papers and academic work on combining blockchain and AI/ML.

Type & Pricing

• Type: Open-source, curated list (themed directory on GitHub).
• Pricing: Free access; no paid plans mentioned.