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公开(公告)号:US12147892B2
公开(公告)日:2024-11-19
申请号:US16843365
申请日:2020-04-08
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Sejung Kwon , Baeseong Park , Dongsoo Lee
Abstract: Provided is an electronic apparatus. The electronic apparatus includes a memory and a processor. The processor is configured to apply a low rank approximation using a matrix decomposition for a first square matrix among a plurality of square matrices based on parameter values of a deep learning model, and obtain a first approximated matrix and a second approximated matrix for the first square matrix, obtain second approximated matrices for each of a plurality of remaining square matrices other than the first square matrix among the plurality of square matrices, based on the first approximated matrix for the first square matrix, and store the first approximated matrix the first square matrix and the second approximated matrices for each of the plurality of square matrices in the memory.
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公开(公告)号:US11595062B2
公开(公告)日:2023-02-28
申请号:US17130538
申请日:2020-12-22
Applicant: Samsung Electronics Co., Ltd.
Inventor: Dongsoo Lee , Sejung Kwon , Byeoungwook Kim , Parichay Kapoor , Baeseong Park
Abstract: A decompression apparatus is provided. The decompression apparatus includes a memory configured to store compressed data decompressed and used in neural network processing of an artificial intelligence model, a decoder configured to include a plurality of logic circuits related to a compression method of the compressed data, decompress the compressed data through the plurality of logic circuits based on an input of the compressed data, and output the decompressed data, and a processor configured to obtain data of a neural network processible form from the data output from the decoder.
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公开(公告)号:US10917121B2
公开(公告)日:2021-02-09
申请号:US16854285
申请日:2020-04-21
Applicant: Samsung Electronics Co., Ltd.
Inventor: Dongsoo Lee , Sejung Kwon , Byeoungwook Kim , Parichay Kapoor , Baeseong Park
Abstract: A decompression apparatus is provided. The decompression apparatus includes a memory configured to store compressed data decompressed and used in neural network processing of an artificial intelligence model, a decoder configured to include a plurality of logic circuits related to a compression method of the compressed data, decompress the compressed data through the plurality of logic circuits based on an input of the compressed data, and output the decompressed data, and a processor configured to obtain data of a neural network processible form from the data output from the decoder.
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