- Patent Title: Searchable database of trained artificial intelligence objects that can be reused, reconfigured, and recomposed, into one or more subsequent artificial intelligence models
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Application No.: US15417075Application Date: 2017-01-26
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Publication No.: US10540613B2Publication Date: 2020-01-21
- Inventor: Mark Isaac Hammond , Keen McEwan Browne , Marcos Campos , Matthew James Brown , Ruofan Kong , William Guss , Ross Story
- Applicant: Bonsai AI, Inc.
- Applicant Address: US CA Berkeley
- Assignee: Bonsai AI, Inc.
- Current Assignee: Bonsai AI, Inc.
- Current Assignee Address: US CA Berkeley
- Agency: Alleman Hall Creasman & Tuttle LLP
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06F16/951 ; G06F16/22 ; G06F8/38 ; G06Q10/00 ; G06F8/30 ; G06N3/08 ; G06N3/04 ; H04L29/06 ; G06F9/451 ; G06F3/0482 ; G06F17/50 ; G06N3/00 ; G06N5/04 ; G06F9/48 ; G06F15/80 ; G06K9/62 ; G06F3/0354 ; G06F17/24

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.
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