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:
Oct. 13, 2020

Filed:

Jan. 26, 2017
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Mark Isaac Hammond, Berkeley, CA (US);

Keen McEwan Browne, Berkeley, CA (US);

Shane Arney, Richmond, CA (US);

Matthew Haigh, Seattle, WA (US);

Jett Evan Jones, Seattle, WA (US);

Matthew James Brown, San Francisco, CA (US);

Ruofan Kong, Berkeley, CA (US);

Chetan Desh, Bellevue, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2006.01); G06N 3/08 (2006.01); 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); 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

The multiple independent processes run in an AI engine on its cloud-based platform. The multiple independent processes are configured as an independent process wrapped in its own container so that multiple instances of the same processes can run simultaneously to scale to handle one or more users to perform actions. The actions to solve AI problems can include 1) running multiple training sessions on two or more AI models at the same time, 2) creating two or more AI models at the same time, 3) running a training session on one or more AI models while creating one or more AI models at the same time, 4) deploying and using two or more trained AI models to do predictions on data from one or more data sources, 5) etc. A service handles scaling by dynamically calling in additional computing devices to load on and run additional instances of one or more of the independent processes as needed.


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