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:
Apr. 05, 2022

Filed:

Jul. 30, 2018
Applicant:

Allegro Artificial Intelligence Ltd, Tel Aviv, IL;

Inventors:

Moshe Guttmann, Tel Aviv, IL;

Ariel Yossef Biller, Kfar Harif, IL;

Dan Iosef Malowany, Tel-Aviv, IL;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/14 (2006.01); G06F 21/62 (2013.01); H04L 29/06 (2006.01); G06N 20/00 (2019.01); G06F 16/23 (2019.01); G06F 16/2455 (2019.01); G06N 3/08 (2006.01); G06N 5/04 (2006.01); G06N 7/00 (2006.01); G06Q 10/06 (2012.01); G06N 5/02 (2006.01); G06F 9/50 (2006.01); G06K 9/62 (2022.01); G06N 3/04 (2006.01); G06F 16/28 (2019.01); G06N 20/10 (2019.01); H04N 5/232 (2006.01);
U.S. Cl.
CPC ...
G06F 7/14 (2013.01); G06F 9/505 (2013.01); G06F 16/2379 (2019.01); G06F 16/24565 (2019.01); G06F 21/6218 (2013.01); G06K 9/6256 (2013.01); G06K 9/6262 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); G06N 5/022 (2013.01); G06N 5/04 (2013.01); G06N 5/046 (2013.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01); G06Q 10/06311 (2013.01); H04L 63/102 (2013.01); G06F 16/285 (2019.01); G06N 3/0445 (2013.01); G06N 3/0481 (2013.01); G06N 3/082 (2013.01); G06N 20/10 (2019.01); H04L 63/0823 (2013.01); H04N 5/23206 (2013.01);
Abstract

Systems and methods for personalized quality assurance of inference models are provided. For example, data items associated with a group of devices may be obtained, results of applying the data items to inference models may be obtained, the results of applying the data items to a first inference model may be compared with the results of applying the data items to a second inference model, and the compatibility of the second inference model to the group of devices may be assessed, for example based on the comparison results. In some examples, when the second inference model is found compatible, the second inference model may be utilized in tasks associated with the group of devices. In some examples, when the second inference model is found incompatible, the system may forgo the usage of the second inference model in one or more tasks associated with the group of devices.


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