The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 04, 2020

Filed:

Jan. 26, 2017
Applicant:

Bonsai Ai, Inc., Berkeley, CA (US);

Inventors:

Mark Isaac Hammond, Berkeley, CA (US);

Keen McEwan Browne, Berkeley, CA (US);

Mike Estee, Oakland, CA (US);

Clara Kliman-Silver, Berkeley, CA (US);

Assignee:

Bonsai AI, Inc., Berkeley, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/951 (2019.01); G06F 16/22 (2019.01); G06F 8/38 (2018.01); G06Q 10/00 (2012.01); G06N 3/10 (2006.01); G06F 30/20 (2020.01); G06F 8/30 (2018.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); H04L 29/06 (2006.01); G06F 9/451 (2018.01); G06F 3/0482 (2013.01); G06N 3/00 (2006.01); G06N 5/04 (2006.01); G06F 9/48 (2006.01); G06F 15/80 (2006.01); G06K 9/62 (2006.01); G06F 30/333 (2020.01); G06F 40/166 (2020.01); G06F 3/0354 (2013.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 3/0482 (2013.01); G06F 8/31 (2013.01); G06F 8/38 (2013.01); G06F 9/451 (2018.02); G06F 9/4881 (2013.01); G06F 15/80 (2013.01); G06F 16/2228 (2019.01); G06F 16/951 (2019.01); G06F 30/20 (2020.01); G06K 9/6257 (2013.01); G06N 3/008 (2013.01); G06N 3/04 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 3/105 (2013.01); G06N 5/04 (2013.01); G06Q 10/00 (2013.01); H04L 67/42 (2013.01); G06F 3/03543 (2013.01); G06F 30/333 (2020.01); G06F 40/166 (2020.01);
Abstract

Provided herein in some embodiments is an artificial intelligence ('AI') engine configured to operate with multiple user interfaces to accommodate different types of users solving different types of problems with AI. The AI engine can include AI-engine modules including an architect module, an instructor module, and a learner module. An assembly code can be generated from a source code written in a pedagogical programming language. The architect module can be configured to propose a neural-network layout from the assembly code; the learner module can be configured to build the AI model from the neural-network layout; and the instructor module can be configured to train the AI model built by the learner module. The multiple user interfaces can include an integrated development environment, a web-browser interface, or a command-line interface configured to enable an author to define a mental model for the AI model to learn.


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