Invention Grant
- Patent Title: Artificial intelligence engine configured to work with a pedagogical programming language to train one or more trained artificial intelligence models
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Application No.: US15417056Application Date: 2017-01-26
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Publication No.: US10671938B2Publication Date: 2020-06-02
- Inventor: Mark Isaac Hammond , Keen McEwan Browne , Megan Adams
- 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 ; G06N3/10 ; G06F30/20 ; G06F8/30 ; G06N3/08 ; G06N3/04 ; H04L29/06 ; G06F9/451 ; G06F3/0482 ; G06N3/00 ; G06N5/04 ; G06F9/48 ; G06F15/80 ; G06K9/62 ; G06F30/333 ; G06F40/166 ; G06F3/0354

Abstract:
Provided in some embodiments is an artificial intelligence (“AI”) engine configured to work with a pedagogical programming language configured to enable an author to 1) define a mental model to be learned by an AI model, the mental model including an input, one or more concept nodes, one or more stream nodes, and an output, as well as 2) define one or more curriculums for training the AI model respectively on the one or more concept nodes. A compiler can be configured to generate an assembly code from a source code authored in the pedagogical programming language. An architect module can be configured to propose a neural-network layout from the assembly code. A learner module can be configured to build the AI model the neural-network layout. An instructor module can be configured to train the AI model on the one or more concept nodes respectively with the one or more curriculums.
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