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:
Mar. 17, 2026

Filed:

Dec. 31, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Yuya Jeremy Ong, San Jose, CA (US);

Eric Kevin Butler, San Jose, CA (US);

Robert Engel, San Francisco, CA (US);

German H Flores, Carmichael, CA (US);

Aly Megahed, San Jose, CA (US);

Nitin Ramchandani, San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 16/21 (2019.01); G06N 3/042 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06F 16/211 (2019.01); G06N 3/042 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01);
Abstract

A method of using a computing device executing to interrelate two or more corpuses of dissimilar data that includes receiving input data from each of two or more corpuses of dissimilar data. The computing device computes a pass for each of the input data into two or more encoder-decoder models. The computing device further obtains a prediction of an identity mapping for each of different domains of knowledge from each of the two or more encoder-decoder models. The computing device additionally computes a distribution distance metric as an output from each of a low-dimensional embedding vector representation from each of the two or more encoder-decoder models. The computing device still further computes a function based on each of the predictions from each of the two or more encoder-decoder models and the distribution distance metrics. The computing device additionally updates the two or more encoder-decoder models.


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