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:
Jun. 03, 2025

Filed:

Oct. 19, 2021
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Jinsu Yeo, Suwon-si, KR;

Youngyoon Lee, Suwon-si, KR;

Youngcheon You, Suwon-si, KR;

Jaechool Lee, Suwon-si, KR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2023.01); G06F 11/34 (2006.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/0464 (2023.01); G06N 3/0495 (2023.01); G06N 3/08 (2023.01); G06N 3/082 (2023.01); G06N 3/09 (2023.01); G06N 3/0985 (2023.01); H03M 7/30 (2006.01);
U.S. Cl.
CPC ...
G06N 3/04 (2013.01); G06F 11/3409 (2013.01); H03M 7/702 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/0464 (2023.01); G06N 3/0495 (2023.01); G06N 3/08 (2013.01); G06N 3/082 (2013.01); G06N 3/09 (2023.01); G06N 3/0985 (2023.01); H03M 7/3059 (2013.01); H03M 7/70 (2013.01);
Abstract

A method for controlling an electronic apparatus is provided. The method for controlling an electronic apparatus includes the steps of selecting a generic-purpose artificial intelligence model, generating a compressed artificial intelligence model based on the selected generic-purpose artificial intelligence model, and generating a dedicated artificial intelligence model based on the generated compressed artificial intelligence model, and the step of generating a compressed artificial intelligence model includes the steps of acquiring a rank of a singular value decomposition (SVD) algorithm based on a compression rate, compressing and training the selected generic-purpose artificial intelligence model based on the acquired rank and converting the model into the compressed artificial intelligence model, determining the performance of the converted compressed artificial intelligence model based on a predetermined first threshold value, and based on the performance of the converted compressed artificial intelligence model being lower than the predetermined first threshold value, generating the dedicated artificial intelligence model.


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