公开(公告)号：US12283529B2

公开(公告)日：2025-04-22

申请号：US17660920

申请日：2022-04-27

Applicant: Samsung Electronics Co., Ltd.

Inventor： Sungho Kang ,  Youngkwang Lee

IPC: H01L21/66 ,  H01L23/48 ,  H03K17/00

Abstract: In a method of repairing through-electrodes, a plurality of through-electrodes are grouped into a plurality of through-electrode groups. A plurality of redundant through-electrodes are grouped into a plurality of redundant through-electrode groups. Repair paths for the plurality of through-electrodes are searched. When searching the repair paths, in response to a Y-th through-electrode included in an X-th through-electrode group being a defective through-electrode or in response to receiving a first signal from an (X−1)-th through-electrode group, it is determined whether a y-th redundant through-electrode included in an x-th redundant through-electrode group is available for performing signal transmission thereto. In response to the y-th redundant through-electrode being available for performing signal transmission thereto, a second signal input to the Y-th through-electrode is transmitted to the y-th redundant through-electrode. In response to the y-th redundant through-electrode being unavailable for performing signal transmission thereto, the second signal input to the Y-th through-electrode is transmitted to an (X+1)-th through-electrode group.

公开(公告)号：US11966846B2

公开(公告)日：2024-04-23

申请号：US16281737

申请日：2019-02-21

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sungho Kang ,  Hyungdal Kwon ,  Cheon Lee ,  Yunjae Lim

IPC: G06N3/08 ,  G06F7/58 ,  G06N3/04 ,  G06N3/082

CPC classification number: G06N3/082 ,  G06F7/58 ,  G06N3/04

Abstract: An encoding apparatus connected to a learning circuit processing learning of a deep neural network and configured to perform encoding for reconfiguring connection or disconnection of a plurality of edges in a layer of the deep neural network using an edge sequence generated based on a random number sequence and dropout information indicating a ratio between connected edges and disconnected edges of a plurality of edges included in a layer of the deep neural network.

公开(公告)号：US11430137B2

公开(公告)日：2022-08-30

申请号：US16969026

申请日：2019-03-26

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sungho Kang ,  Yunjae Lim ,  Hyungdal Kwon ,  Cheon Lee

IPC: G06K9/00 ,  G06T7/246 ,  G06T7/254 ,  G06N3/08 ,  G06V10/75

Abstract: An electronic device and a control method therefor are disclosed. A method for controlling an electronic device according to the present invention comprises the steps of: receiving a current frame; determining a region, within the current frame, where there is a movement, on the basis of a prior frame and the current frame; inputting the current frame into an artificial intelligence learning model on the basis of the region where there is the movement, to obtain information relating to at least one object included in the current frame; and determining the object included in the region where there is the movement, by using the obtained information relating to the at least one object. Therefore, electronic device can rapidly determine an object included in a frame configuring a captured image.

公开(公告)号：US11755904B2

公开(公告)日：2023-09-12

申请号：US16970859

申请日：2019-02-20

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Hyungdal Kwon ,  Sungho Kang ,  Cheon Lee ,  Yunjae Lim

IPC: G06N3/08 ,  G06F17/16 ,  H03M7/46

CPC classification number: G06N3/08 ,  G06F17/16 ,  H03M7/46

Abstract: The disclosure relates to an artificial intelligence (AI) system that simulates functions such as cognition and judgment of the human brain by utilizing machine learning algorithms such as deep learning and its applications. In particular, the disclosure provides a method of controlling data input and output of a fully connected network according to an artificial intelligence system and its applications, the method including receiving, from a learning circuit, an edge sequence representing a connection relationship between nodes included in a current layer of the fully connected network, generating a compressed edge sequence that compresses consecutive invalid bits among bit strings constituting the edge sequence into one bit and a validity determination sequence determining valid and invalid bits among the bit strings constituting the compressed edge sequence, writing the compressed edge sequence and the validity determination sequence to the memory, and sequentially reading the compressed edge sequences from the memory based on the validity determination sequence such that the valid bits are sequentially output to the learning circuit.

公开(公告)号：US11531277B2

公开(公告)日：2022-12-20

申请号：US17499182

申请日：2021-10-12

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jihoon Na ,  Sungho Kang ,  Jaewhan Sung ,  Hak-Seok Lee ,  Hyunjune Cho

IPC: G03F7/20 ,  G03F1/86

Abstract: An EUV mask inspection system includes a mask receiving unit configured to receive a manufactured EUV mask, a main chamber configured to perform an inspection on the EUV mask, and a load-lock chamber disposed between the mask receiving unit and the main chamber. The load-lock chamber includes a mask table for loading the EUV mask, an UV lamp disposed adjacent the mask table in a first direction, a cold trap disposed adjacent the mask table in a second direction, and a vacuum pump. The first direction is a direction perpendicular to a sidewall of the mask table, and the second direction is a direction perpendicular to a top surface of the mask table. The UV lamp is configured to evaporate water molecules on the EUV mask by irradiating UV light onto the EUV mask. The cold trap is configured to trap the water molecules evaporated from the EUV mask.

公开(公告)号：US10043799B2

公开(公告)日：2018-08-07

申请号：US15407598

申请日：2017-01-17

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jaeyoung Park ,  Sungho Kang ,  Kichul Kim ,  Sunyoung Lee ,  Han Ki Lee ,  Bonyoung Koo

IPC: H01L21/336 ,  H01L21/302 ,  H01L21/461 ,  H01L27/088 ,  H01L29/34 ,  H01L29/06 ,  H01L29/08 ,  H01L21/306 ,  H01L21/8234 ,  H01L21/762 ,  H01L21/02 ,  H01L29/66 ,  H01L29/45 ,  H01L21/768 ,  H01L21/3205

CPC classification number: H01L27/0886 ,  H01L21/0206 ,  H01L21/302 ,  H01L21/306 ,  H01L21/32053 ,  H01L21/76224 ,  H01L21/76802 ,  H01L21/76877 ,  H01L21/823412 ,  H01L21/823418 ,  H01L21/823431 ,  H01L21/823437 ,  H01L21/823475 ,  H01L21/823481 ,  H01L29/0649 ,  H01L29/0657 ,  H01L29/0847 ,  H01L29/34 ,  H01L29/45 ,  H01L29/66545 ,  H01L29/66636 ,  H01L29/66795

Abstract: A method of manufacturing a semiconductor device includes forming a first plurality of recessed regions in a substrate, the substrate having a protruded active region between the first plurality of recessed regions and the protruded active region having an upper surface and a sidewall, forming a device isolation film in the first plurality of recessed regions, the device isolation film exposing the upper surface and an upper portion of the sidewall of the protruded active region, and performing a first plasma treatment on the exposed surface of the protruded active region, wherein the plasma treatment is performed using a plasma gas containing at least one of an inert gas and a hydrogen gas in a temperature of less than or equal to about 700° C.

公开(公告)号：US09947290B2

公开(公告)日：2018-04-17

申请号：US14976310

申请日：2015-12-21

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sungho Kang ,  Kyeonghwan Kwon ,  Choong-Bin Kim ,  Yeonsook Park ,  Hyejin Jung

IPC: G09G5/00 ,  G09G3/20

CPC classification number: G09G5/006 ,  G09G3/20 ,  G09G2310/0218 ,  G09G2310/08 ,  G09G2320/103 ,  G09G2330/021 ,  G09G2330/026 ,  G09G2330/12 ,  G09G2352/00 ,  G09G2360/18 ,  G09G2370/04 ,  G09G2370/10 ,  G09G2370/14

Abstract: A timing controller, a multi embedded timing controller (TED), and a display panel including a multi TED are provided. The timing controller includes: a first interface configured to receive data from a host device; and a second interface configured to communicate with another timing controller for driving the display panel, wherein the second interface is configured to communicate full link training information with the other timing controller.

公开(公告)号：US12175361B2

公开(公告)日：2024-12-24

申请号：US16979303

申请日：2019-03-06

Applicant: Samsung Electronics Co., Ltd.

Inventor： Cheon Lee ,  Sungho Kang ,  Hyungdal Kwon ,  Yunjae Lim

IPC: G06N3/08 ,  G06F9/50 ,  G06T5/00

Abstract: The present disclosure relates to an artificial intelligence (AI) system that utilizes a machine learning algorithm, and applications therefore. Disclosed is an electronic device. The electronic device comprises: a storage unit which stores therein an artificial intelligence model trained to determine parameters for a plurality of filters used for image processing on the basis of a deep neural network (DNN); and a processor for determining, through the artificial intelligence mode, parameters for each of the plurality of filters used for image processing for an input image, and performing, through the plurality of filters, filtering of the input image on the basis of the determined parameters so as to perform image processing for the input image.

公开(公告)号：US12001954B2

公开(公告)日：2024-06-04

申请号：US16281737

申请日：2019-02-21

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sungho Kang ,  Hyungdal Kwon ,  Cheon Lee ,  Yunjae Lim

IPC: G06N3/08 ,  G06F7/58 ,  G06N3/04 ,  G06N3/082

CPC classification number: G06N3/082 ,  G06F7/58 ,  G06N3/04

Abstract: An encoding apparatus connected to a learning circuit processing learning of a deep neural network and configured to perform encoding for reconfiguring connection or disconnection of a plurality of edges in a layer of the deep neural network using an edge sequence generated based on a random number sequence and dropout information indicating a ratio between connected edges and disconnected edges of a plurality of edges included in a layer of the deep neural network.

公开(公告)号：US11809954B2

公开(公告)日：2023-11-07

申请号：US16281737

申请日：2019-02-21

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sungho Kang ,  Hyungdal Kwon ,  Cheon Lee ,  Yunjae Lim

IPC: G06N3/08 ,  G06N3/04 ,  G06F7/58 ,  G06N3/082

CPC classification number: G06N3/082 ,  G06F7/58 ,  G06N3/04

Abstract: An encoding apparatus connected to a learning circuit processing learning of a deep neural network and configured to perform encoding for reconfiguring connection or disconnection of a plurality of edges in a layer of the deep neural network using an edge sequence generated based on a random number sequence and dropout information indicating a ratio between connected edges and disconnected edges of a plurality of edges included in a layer of the deep neural network.