公开(公告)号：US20230342602A1

公开(公告)日：2023-10-26

申请号：US18216824

申请日：2023-06-30

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jijoong Moon ,  Parichay Kapoor ,  Jihoon Lee ,  Geunsik Lim ,  Myungjoo Ham

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: Disclosed are an electronic device including a memory and a processor, and a method for controlling same. The memory stores a pre-trained neural network model and training data. The processor obtains a first loss function based on a label corresponding to the training data and output data obtained by inputting the training data into the neural network model; obtains a size of a change amount of a weight of each of a plurality of layers included in the neural network model based on the first loss function, and trains the neural network model by updating a weight of at least one layer for which the magnitude of the change amount of the weight exceeds a first threshold value, while at least one other layer, among the plurality of layers, for which a size of the weight change amount does not exceed the first threshold value is not updated.

公开(公告)号：US10152359B2

公开(公告)日：2018-12-11

申请号：US13932489

申请日：2013-07-01

Applicant: Samsung Electronics Co., Ltd. ,  Research & Business Foundation, Sungkyunkwan University

Inventor： Geunsik Lim ,  Young Ik Eom

IPC: G06F9/46 ,  G06F9/50

Abstract: Methods and apparatus are provided for load-balancing in a portable terminal having a plurality of Central Processing Units (CPUs). A utilization is calculated for each of the plurality of CPUs, when a state of a task is changed. An average of the utilizations of the plurality of CPUs is calculated. It is determined whether the average exceeds a predetermined threshold. Load-balancing is performed when the average exceeds the predetermined threshold.

公开(公告)号：US11995196B2

公开(公告)日：2024-05-28

申请号：US17437320

申请日：2020-11-24

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jijoong Moon ,  Wook Song ,  Sangjung Woo ,  Geunsik Lim ,  Jaeyun Jung ,  Myungjoo Ham

IPC: G06F21/33 ,  G06F21/34 ,  G06F21/60 ,  G06F21/62 ,  G06N3/0464 ,  G06N3/08

CPC classification number: G06F21/602 ,  G06N3/0464 ,  G06N3/08

Abstract: An electronic apparatus and a method for controlling thereof are provided. The electronic apparatus includes a memory storing an artificial neural network and metadata including information of at least one layer in the artificial neural network, and a processor configured to: acquire a security vector based on the metadata and a security key of the electronic apparatus; map the security vector and the metadata with the security key and identification information of the artificial neural network; perform encryption on the at least one layer based on the metadata and the security vector; based on input data input to the artificial neural network, load the metadata and the security vector by using the security key and the identification information of the artificial neural network; and perform an operation between the input data and the encrypted at least one layer based on the loaded security vector and the metadata.