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:
Jan. 13, 2026

Filed:

Jun. 14, 2023
Applicant:

Synaptics Incorporated, San Jose, CA (US);

Inventors:

Saeed Mosayyebpour Kaskari, Irvine, CA (US);

Atabak Pouya, Irvine, CA (US);

Assignee:

Synaptics Incorporated, San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 18/21 (2023.01); G06N 3/084 (2023.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G10L 15/06 (2013.01); G10L 15/16 (2006.01);
U.S. Cl.
CPC ...
G06F 18/217 (2023.01); G06N 3/084 (2013.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G10L 15/063 (2013.01); G10L 15/16 (2013.01);
Abstract

Systems and methods for classification of data comprise optimizing a neural network by minimizing a rhino loss value, including receiving a training batch of data samples comprising a plurality of samples for each of a plurality of classifications, extracting features from the samples to generate a batch of features, processing the batch of features using a neural network to generate a plurality of classifications to differentiate the samples, computing a rhino loss value for the training batch based, at least in part, on the classifications, and modifying weights of the neural network to reduce the rhino loss value.


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