公开(公告)号：US20230244441A1

公开(公告)日：2023-08-03

申请号：US18131164

申请日：2023-04-05

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Byeoungwook KIM ,  Dongsoo LEE ,  Sejung KWON ,  Yeonju RO ,  Baeseong PARK ,  Yongkweon JEON

IPC: G06F5/01 ,  G06F7/487 ,  G06F7/485 ,  G06F7/544

CPC classification number: G06F5/01 ,  G06F7/4876 ,  G06F7/485 ,  G06F7/5443

Abstract: An electronic device and a control method therefor are disclosed. An electronic device of the present disclosure includes a processor, which quantizes weight data with a combination of sign data and scaling factor data to obtain quantized data, and may input the first input data into a first module to obtain second input data in which exponents of input values included in the first input data are converted to the same value; input the second input data and the sign data into a second module to determine the signs of input values and perform calculations between the input values of which signs are determined to obtain first output data; input the first output data into a third module to normalize output values included in the first output data; and perform a multiplication operation on data including the normalized output values and the scaling factor data to obtain second output data.

公开(公告)号：US20210271981A1

公开(公告)日：2021-09-02

申请号：US17171582

申请日：2021-02-09

Applicant: Samsung Electronics Co., Ltd.

Inventor： Dongsoo LEE ,  Baeseong PARK ,  Byeoungwook KIM ,  Sejung KWON ,  Yongkweon JEON

IPC: G06N3/10 ,  G06F17/16 ,  G06N3/08

Abstract: An electronic apparatus performing an operation of a neural network model is provided. The electronic apparatus includes a memory configured to store weight data including quantized weight values of the neural network model; and a processor configured to obtain operation data based on input data and binary data having at least one bit value different from each other, generate a lookup table by matching the operation data with the binary data, identify operation data corresponding to the weight data from the lookup table, and perform an operation of the neural network model based on the identified operation data.

公开(公告)号：US20250148374A1

公开(公告)日：2025-05-08

申请号：US19012155

申请日：2025-01-07

Applicant: Samsung Electronics Co., Ltd.

Inventor： Yongkweon JEON ,  Chungman LEE ,  Hoyoung KIM

IPC: G06N20/00 ,  G06N3/0464

Abstract: An electronic device is provided. The electronic device includes memory storing a learning module comprising a first generator that generates an input vector, a second generator that generates synthetic data, a first learning model that analyzes the synthetic data and one or more computer programs, and one or more processors communicatively coupled to the memory, wherein the one or more computer programs include computer-executable instructions that, when executed by the one or more processors individually or collectively, cause the electronic device to obtain the input vector from the first generator, obtain the synthetic data corresponding to the input vector through inputting the input vector into the second generator, obtain output data by analyzing the synthetic data by inputting the synthetic data into the first learning model, and learn, at least one parameter included in the first generator and at least one parameter included in the second generator on the basis of the output data.