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公开(公告)号：US20220396380A1
公开(公告)日：2022-12-15
申请号：US17583653
申请日：2022-01-25
Applicant: Samsung Electronics Co., Ltd.
Inventor： Kibeom KIL , Dongsoo LEE , Wooram OH , Sangho JANG
Abstract: A fluid supply apparatus includes a container supply holder configured to supply a container to a cap separator using a loading box, the container including a detachable nozzle cap, and configured to store a process fluid, a cap separator configured to receive the container from the loading box and separate the nozzle cap from a container body of the container using a cap clamper and a rotation actuator, the cap clamper configured to clamp and hold the nozzle cap, and the rotation actuator configured to rotate the container body, a fluid supplier configured to supply the process fluid contained in the container body through a fluid supply line, and a controller configured to control the container supply holder, the cap separator, and the fluid supplier.
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公开(公告)号：US20220058487A1
公开(公告)日：2022-02-24
申请号：US17520326
申请日：2021-11-05
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Dongsoo LEE , Sejung KWON , Byeoungwook Kim
Abstract: An electronic apparatus, including a memory configured to store weight data used for computation of a neural network model; and a processor configured to: identify, from among weight values included in the weight data, at least one weight value having a size less than or equal to a threshold value, quantize remaining weight values other than the identified at least one weight value to obtain first quantized data including quantized values corresponding to the remaining weight values, identify, from among the quantized values, a quantized value closest to a predetermined value, obtain second quantized data including a quantized value corresponding to the at least one weight value based on the quantized value closest to the predetermined value, and store the first quantized data and the second quantized data in the memory
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公开(公告)号：US20210358910A1
公开(公告)日：2021-11-18
申请号：US17384920
申请日：2021-07-26
Applicant: Samsung Electronics Co., Ltd.
Inventor： Dongsoo LEE , Wonkeun CHUNG , Hoonjoo NA , Suyoung BAE , Jaeyeol SONG , Jonghan LEE , HyungSuk JUNG , Sangjin HYUN
IPC: H01L27/092 , H01L29/786 , H01L21/8238 , H01L29/49 , H01L29/51 , H01L29/423
Abstract: Disclosed are semiconductor devices and methods of manufacturing the same. The semiconductor device comprises a first transistor on a substrate, and a second transistor on the substrate. Each of the first and second transistors includes a plurality of semiconductor patterns vertically stacked on the substrate and vertically spaced apart from each other, and a gate dielectric pattern and a work function pattern filling a space between the semiconductor patterns. The work function pattern of the first transistor includes a first work function metal layer, the work function pattern of the second transistor includes the first work function metal layer and a second work function metal layer, the first work function metal layer of each of the first and second transistors has a work function greater than that of the second work function metal layer, and the first transistor has a threshold voltage less than that of the second transistor.
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公开(公告)号：US20210057030A1
公开(公告)日：2021-02-25
申请号：US16987618
申请日：2020-08-07
Applicant: Samsung Electronics Co., Ltd.
Inventor： Dongsoo LEE , Daehyun KIM , Guyeon WEI
Abstract: A semiconductor device is provided. The device includes a memory that stores data in a non-volatile and volatile manner and a memory controller configured to control the memory. The memory includes a word line pair including a first and second word line, a first bit line pair orthogonal to the first and the second word line and including a first bit line and a first complementary bit line, and a memory cell pair including first and second memory cells adjacent to the first memory cell in a word line direction. A left node of the first memory cell, and a right node of the first memory cell and a left node of the second memory cell, are all connected to the first word line, and a value of the data stored in the memory cell pair in the non-volatile manner is determined according to the selected first word line.
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公开(公告)号：US20200234131A1
公开(公告)日：2020-07-23
申请号：US16727323
申请日：2019-12-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Dongsoo LEE , Sejung KWON , Parichay KAPOOR , Byeoungwook KIM
Abstract: An electronic apparatus is provided. The electronic apparatus includes sample data and memory storing a first matrix included in an artificial intelligence model trained based on sample data, and a processor configured to prunes each of a plurality of first elements included in the first matrix based on a first threshold, and acquire a first pruning index matrix that indicates whether each of the plurality of first elements has been pruned with binary data, factorize the first matrix to a second matrix of which size was determined based on the number of rows and the rank, and a third matrix of which size was determined based on the rank and the number of columns of the first matrix, prunes each of a plurality of second elements included in the second matrix based on a second threshold, and acquire a second pruning index matrix that indicates whether each of the plurality of second elements has been pruned with binary data, prunes each of a plurality of third elements included in the third matrix based on a third threshold, and acquire a third pruning index matrix that indicates whether each of the plurality of third elements has been pruned with binary data, acquire a final index matrix based on the second pruning index matrix and the third pruning index matrix, and update at least one of the second pruning index matrix or the third pruning index matrix by comparing the final index matrix with the first pruning index matrix.
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Patent Agency Ranking
公开(公告)号：US20250139193A1
公开(公告)日：2025-05-01
申请号：US18820372
申请日：2024-08-30
Applicant: Samsung Electronics Co., Ltd.
Inventor： Younho JEON , Jae Hun JANG , Suchang KIM , Yeo-Reum PARK , Hong Rak SON , Jihoon LIM , Se Jung KWON , Byeoung Wook KIM , Baeseong PARK , Dongsoo LEE
IPC: G06F17/16
Abstract: A matrix multiplier includes an input vector scaler generating a first quantization scaled input vector based on a first input vector, a plurality of common scale coefficients, and first-to-Rth multiplication scale coefficients, a first data type converter generating a first fixed point quantization scaled input vector based on the first quantization scaled input vector, an element array comprising a first processing element generating a first fixed point output element based on the first fixed point quantization scaled input vector and first plurality of quantization sign bits, and a second processing element generating a second fixed point output element based on the first fixed point quantization scaled input vector and second plurality of quantization sign bits, and a second data type converter generating and outputting first and second output elements by converting data types of the first and second fixed point output elements.
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公开(公告)号：US20250117257A1
公开(公告)日：2025-04-10
申请号：US18830998
申请日：2024-09-11
Applicant: Samsung Electronics Co., Ltd.
Inventor： Byungmin AHN , Hong Rak SON , Dong-Min SHIN , Dae-Yeol YANG , JongYoon YOON , Jae Hun JANG , Se Jung KWON , Byeongwook KIM , Baeseong PARK , Dongsoo LEE
Abstract: Disclosed is an accelerator device which includes an interface circuit that communicates with an external device, a memory that stores first data received through the interface circuit, a polar encoder that performs polar encoding with respect to the first data provided from the memory and to output a result of the polar encoding as second data, and an accelerator core that loads the second data. The first data are compressed weight data, the second data are decompressed weight data, the accelerator core is configured to perform machine learning-based inference based on the second data, and the first data are variable in length.
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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
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.
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19.发明申请公开(公告)号：US20220138628A1
公开(公告)日：2022-05-05
申请号：US17508593
申请日：2021-10-22
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Dongsoo LEE
IPC: G06N20/00
Abstract: Provided is a method, performed by an electronic device, of updating a pre-trained artificial intelligence (AI) model may include obtaining a sum, of at least two first factor values to which at least two second factor values are respectively applied, as a quantized value of a first weight value from among a plurality of weight values included in the pre-trained AI model; obtaining training data for updating the pre-trained AI model; updating the pre-trained AI model based on the the training data.
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公开(公告)号：US20200074283A1
公开(公告)日：2020-03-05
申请号：US16555331
申请日：2019-08-29
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Parichay KAPOOR , Saehyung LEE , Dongsoo LEE , Byeoungwook KIM
Abstract: An electronic apparatus is provided. The electronic apparatus includes a storage storing a matrix included in an artificial intelligence model, and a processor. The processor divides data included in at least a portion of the matrix by one of rows and columns of the matrix to form groups, clusters the groups into clusters based on data included in each of the groups, and quantizes data divided by the other one of rows and columns of the matrix among data included in each of the clusters.
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