Searchable database of trained artificial intelligence objects that can be reused, reconfigured, and recomposed, into one or more subsequent artificial intelligence models

US10586173B2 · kind B2 · utility

Assignee

• Bonsai AI, Inc. · US

Inventors

• Mark Isaac Hammond · Berkeley, US
• Keen McEwan Browne · Berkeley, US
• Marcos Campos · Encinitas, US
• Matthew Brown · San Francisco, US
• Ruofan Kong · Berkeley, US
• William Guss · Berkeley, US
• Ross Story · Berkeley, US

Key dates

• Filing date: Jan 26, 2017
• Grant date: Mar 10, 2020
• Expiry date: Apr 12, 2038

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04L67/02
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

An AI database hosted on cloud platform is configured to cooperate with a search engine and an AI engine. The AI database stores and indexes trained AI objects and its class of AI objects have searchable criteria. The AI database cooperates with the search engine to utilize search criteria supplied from a user, from either or both 1) via scripted software code and 2) via data put into defined fields of a user interface. The search engine utilizes the search criteria in order for the search engine to retrieve one or more AI data objects that have already been trained as query results. The AI database is coupled to an AI engine to allow any of reuse, reconfigure ability, and recomposition of the one or more trained AI data objects from the AI database into a new trained AI model.