公开(公告)号：US20200382839A1

公开(公告)日：2020-12-03

申请号：US16887641

申请日：2020-05-29

Applicant: Samsung Electronics Co., Ltd.

Inventor： Heeran LEE ,  Yongdeok KIM ,  Namsu HA ,  Bongseok LEE ,  Jaeho HAN

IPC: H04N21/47 ,  H04R5/04 ,  H03G1/00

Abstract: An electronic apparatus is provided. The electronic apparatus includes: a memory configured to store volume histories for a plurality of content sources; and a processor configured to, based on a content source for providing a content being changed from a first content source to a second content source, among the plurality of content sources, identify a volume level corresponding to the second content source based on a volume history of the first content source and a volume history of the second content source among the stored volume histories, and change a currently-set volume level to the identified volume level, and update the volume history of the second content source based on the changed volume level.

公开(公告)号：US20240231944A1

公开(公告)日：2024-07-11

申请号：US18351737

申请日：2023-07-13

Applicant: Samsung Electronics Co., Ltd.

Inventor： Myeong Woo KIM ,  Yongdeok KIM ,  Changin CHOI ,  Seungwon LEE

IPC: G06F9/50 ,  G06F16/17

CPC classification number: G06F9/5055 ,  G06F16/1724

Abstract: A processor-implemented method with data loading includes: based on sizes of a plurality of data files in a training dataset, dividing the training dataset into a plurality of sub-sets; loading some data files in each sub-set into a plurality of processors; determining a packing combination of one or more data files loaded to processors in a same group among the plurality of processors, based on a ratio of a number of data files between the plurality of sub-sets and a batch size of distributed training; determining packed data files by packing the one or more data files according to the packing combination; and reallocating the packed data files to the processors in the same group.

公开(公告)号：US20230139091A1

公开(公告)日：2023-05-04

申请号：US17954508

申请日：2022-09-28

Applicant: Samsung Electronics Co., Ltd. ,  Seoul National University R&DB Foundation

Inventor： Yongdeok KIM ,  Kyung Geun LEE ,  Jeong Yoon EO ,  Byung Gon CHUN ,  Ahn Jae SHIN

IPC: G06F11/07

Abstract: A system with fault recovery includes: a plurality of worker nodes configured to perform distributed training; and a master node configured to control the plurality of worker nodes, wherein the master node is configured to: detect a fault of the plurality of worker nodes based on a predetermined period; adjust a collective communication participant list in response to the detecting of the fault; and transmit the adjusted participant list to one or more worker nodes in the adjusted participant list.

公开(公告)号：US20200090304A1

公开(公告)日：2020-03-19

申请号：US16402375

申请日：2019-05-03

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： CHOONSIK LEEM ,  Taelim CHOI ,  Yongdeok KIM

IPC: G06T3/40 ,  G06T7/00

Abstract: A non-transitory computer-readable medium for monitoring a semiconductor fabrication process includes an image conversion model having an artificial neural network. The image conversion model, when executed, causes the processor to receive a first image and a second image of a semiconductor wafer. The artificial neural network is trained by inputting a dataset representing the first image and the second image, generating a conversion image of the semiconductor wafer and calibrating weights and biases of the artificial neural network to match the conversion image to the second image. A third image of the semiconductor wafer is generated based on the calibrated weights and biases of the artificial neural network. The image conversion model with the trained artificial neural network may be transmitted to another device for image conversion of low resolution images.

公开(公告)号：US20230140239A1

公开(公告)日：2023-05-04

申请号：US17868361

申请日：2022-07-19

Applicant: Samsung Electronics Co., Ltd.

Inventor： Myeong Woo KIM ,  Yongdeok KIM ,  Narankhuu TUVSHINJARGAL ,  Gunhee KIM ,  Seungwon LEE ,  Changin CHOI

IPC: G06F16/906 ,  G06F40/20 ,  G06K9/62

Abstract: A processor-implemented method with data loading includes: dividing a training data set into a plurality of subsets based on sizes of a plurality of data files included in the training data set; loading, from each of the plurality of subsets, a portion of data files in the subset to a plurality of processors based on a proportion of a number of data files of the plurality of subsets in the subset and a batch size of distributed training; and reallocating, based on sizes of data files loaded to processors in a same group among the plurality of processors, the loaded data files to the processors in the same group.

公开(公告)号：US20210136467A1

公开(公告)日：2021-05-06

申请号：US17046494

申请日：2019-03-27

Applicant: SAMSUNG ELECTRONICS CO., LTD. ,  SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION

Inventor： Sunghyun KIM ,  Yongdeok KIM ,  Gunhee KIM ,  Joonil NA ,  Jinyoung SUNG ,  Youngjae YU ,  Sangho LEE

IPC: H04N21/8549 ,  G06N3/08 ,  G06F16/583 ,  G06F16/55 ,  H04N21/8547 ,  G06F16/58

Abstract: Provided are an electronic device and an operation method thereof. The electronic device includes a memory that stores one or more instructions, and a processor that executes the one or more instructions stored in the memory, wherein the processor is configured to execute the one or more instructions to: divide original image data into a plurality of image sequences; determine a predetermined number of image sequences among the plurality of image sequences as an input image group, select one of the image sequences included in the input image group and add the selected image sequence to the highlight image group based on one or more image sequences pre-classified as a highlight image group, by using a trained model trained using an artificial intelligence algorithm; and generate summary image data extracted from the original image data, by using the image sequence included in the highlight image group.