Storing data for machine learning and artificial intelligence applications in a decentralized storage network

This invention describes a way to store data for artificial intelligence and machine learning programs using a network of many independent computers rather than a central server. It works by first looking at various decentralized storage options, then picking the best ones based on what the data needs, and finally storing the data there. One specific version of this also includes shrinking the data before storage and recording the storage agreement on a blockchain.

Why it matters: Filed before the explosion of generative AI, the need for scalable and resilient storage for massive AI/ML datasets has become critical. Decentralized storage networks and blockchain integration have matured, making this approach more viable for handling the unprecedented data volumes and ensuring data integrity for AI training.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, network integration, blockchain logic

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