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公开(公告)号：US20240136024A1
公开(公告)日：2024-04-25
申请号：US18480190
申请日：2023-10-03
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Lun YAO , Jiali PANG , Ihor VASYLTSOV , Gang SUN , Zhen ZHANG
IPC: G16C10/00
CPC classification number: G16C10/00
Abstract: A processor-implemented method with molecular dynamics simulation includes: setting a precision of first data used for a molecular dynamics simulation to be a first precision; setting a precision of second data used for the molecular dynamics simulation to be a second precision that is different from the first precision; and conducting the molecular dynamics simulation based on the first data of the first precision and the second data of the second precision.
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公开(公告)号：US20220237513A1
公开(公告)日：2022-07-28
申请号：US17587291
申请日：2022-01-28
Applicant: Samsung Electronics Co., Ltd.
Inventor： Wenlong HE , Ihor VASYLTSOV , Gang SUN , Duanhui LIU
Abstract: A method with quantization for a deep learning model includes: determining a second model by quantizing a first model based on a quantization parameter; determining a real value of multi optimization target parameter by testing the second model; calculating a loss function based on the real value of the multi optimization target parameter, an expected value of the multi optimization target parameter, and a constraint value of the multi optimization target parameter; updating the quantization parameter based on the loss function and using the second model as the first model; iteratively executing the foregoing operations until a preset condition is satisfied; and in response to the preset condition being satisfied, determining an optimal quantization parameter and using, as a final quantization model, the first model that executes quantization based on the optimal quantization parameter.
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公开(公告)号：US20210397935A1
公开(公告)日：2021-12-23
申请号：US17085264
申请日：2020-10-30
Applicant: Samsung Electronics Co., Ltd.
Inventor： Songyi HAN , Ihor VASYLTSOV
Abstract: A processor-implemented tensor processing method includes: receiving a request to process a neural network including a normalization layer by an accelerator; and generating an instruction executable by the accelerator in response to the request, wherein, by executing the instruction, the accelerator is configured to determine an intermediate tensor corresponding to a result of performing a portion of operations included in the normalization layer, by performing, in a channel axis direction, a convolution based on: a target tensor on which the portion of operations is to be performed; and a kernel having a number of input channels and a number of output channels determined based on the target tensor and including elements of scaling values determined based on the target tensor.
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公开(公告)号：US20150067895A1
公开(公告)日：2015-03-05
申请号：US14460982
申请日：2014-08-15
Applicant: Samsung Electronics Co., Ltd.
Inventor： Ihor VASYLTSOV , Karpinskyy BOHDAN , Kalesnikau ALIAKSEI , Yun-hyeok CHOI
CPC classification number: H04L9/3278 , G06F21/73
Abstract: The inventive concept provides a security device capable of reducing an area of a die required for implementation of a stable PUF by increasing the value of entropy from a predefined number of entropy sources and/or minimizing a blind zone of a validity checking module. The security device uses an asynchronous configuration to minimize a blind zone.In various embodiments of the inventive concept, the blind zone is generated only in a period when a reset signal is at a first logic level. Therefore, it is possible to minimize the blind zone by minimizing a period in which the reset signal is at such logic level. A semiconductor device, semiconductor package, and/or smart card can be provided with such security device, as well as a method for determining a validity of a random signal using a semiconductor security device.
Abstract translation: 本发明的概念提供了一种安全装置，其能够通过从预定义数量的熵源增加熵值和/或最小化有效性检查模块的盲区来减少实现稳定PUF所需的裸片的面积。 安全设备使用异步配置来最小化盲区。 在本发明构思的各种实施例中，盲区仅在复位信号处于第一逻辑电平的时段内产生。 因此，可以通过使复位信号处于这样的逻辑电平的周期最小化来最小化盲区。 半导体器件，半导体封装和/或智能卡可以设置有这种安全装置，以及使用半导体安全装置确定随机信号的有效性的方法。
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公开(公告)号：US20220222538A1
公开(公告)日：2022-07-14
申请号：US17546547
申请日：2021-12-09
Applicant: Samsung Electronics Co., Ltd.
Inventor： Ihor VASYLTSOV , Wooseok CHANG
Abstract: A processor-implemented method with neural network processing includes: determining whether a portion of a population comprising a plurality of instances to which different mixed-precision quantizations are applied for a neural network satisfies convergence criteria; generating, in response to the determination that the portion satisfies the convergence criteria, a new instance using the portion; and updating the population by adding the new instance to the population.
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Patent Agency Ranking
公开(公告)号：US20200168271A1
公开(公告)日：2020-05-28
申请号：US16421855
申请日：2019-05-24
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Ihor VASYLTSOV , Youngnam HWANG , Jinmin KIM , Yongha PARK , Hyunsik PARK , Jaewon YANG
IPC: G11C11/54 , G11C11/4096 , G11C11/408 , G11C11/4091 , G06N3/04
Abstract: A semiconductor memory device includes a memory cell array including first memory cells and second memory cell, and a peripheral circuit. When a first command, a first address, and first input data are received, the peripheral circuit reads first data from the first memory cells based on the first address in response to the first command, performs a first operation by using the first data and the first input data, and reads second data from the second memory cells by using a result of the first operation.
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公开(公告)号：US20200099542A1
公开(公告)日：2020-03-26
申请号：US16677901
申请日：2019-11-08
Applicant: Samsung Electronics Co., Ltd.
Inventor： Ihor VASYLTSOV , Karpinskyy BOHDAN , Kalesnikau ALIAKSEI , Yun-hyeok CHOI
Abstract: The inventive concept provides a security device capable of reducing an area of a die required for implementation of a stable PUF by increasing the value of entropy from a predefined number of entropy sources and/or minimizing a blind zone of a validity checking module. The security device uses an asynchronous configuration to minimize a blind zone. In various embodiments of the inventive concept, the blind zone is generated only in a period when a reset signal is at a first logic level. Therefore, it is possible to minimize the blind zone by minimizing a period in which the reset signal is at such logic level. A semiconductor device, semiconductor package, and/or smart card can be provided with such security device, as well as a method for determining a validity of a random signal using a semiconductor security device.
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公开(公告)号：US20180302229A1
公开(公告)日：2018-10-18
申请号：US16021494
申请日：2018-06-28
Applicant: Samsung Electronics Co., Ltd.
Inventor： Ihor VASYLTSOV , Karpinskyy BOHDAN , Kalesnikau ALIAKSEI , Yun-hyeok CHOI
Abstract: The inventive concept provides a security device capable of reducing an area of a die required for implementation of a stable PUF by increasing the value of entropy from a predefined number of entropy sources and/or minimizing a blind zone of a validity checking module. The security device uses an asynchronous configuration to minimize a blind zone. In various embodiments of the inventive concept, the blind zone is generated only in a period when a reset signal is at a first logic level. Therefore, it is possible to minimize the blind zone by minimizing a period in which the reset signal is at such logic level. A semiconductor device, semiconductor package, and/or smart card can be provided with such security device, as well as a method for determining a validity of a random signal using a semiconductor security device.
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公开(公告)号：US20240319962A1
公开(公告)日：2024-09-26
申请号：US18736241
申请日：2024-06-06
Applicant: Samsung Electronics Co., Ltd.
Inventor： Ihor VASYLTSOV , Wooseok Chang , Youngnam Hwang
CPC classification number: G06F7/4988 , G06F1/03 , G06F17/10
Abstract: A processor-implemented data processing method includes: normalizing input data of an activation function comprising a division operation; determining dividend data corresponding to a dividend of the division operation by reading, from a memory, a value of a first lookup table addressed by the normalized input data; determining divisor data corresponding to a divisor of the division operation by accumulating the dividend data; and determining output data of the activation function corresponding to an output of the division operation obtained by reading, from the memory, a value of a second lookup table addressed by the dividend data and the divisor data.
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公开(公告)号：US20240062049A1
公开(公告)日：2024-02-22
申请号：US18355619
申请日：2023-07-20
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Yujie ZENG , Wenlong HE , Lin CHEN , Ihor VASYLTSOV
Abstract: A processor implemented method including iteratively training a model through repeated training operations, including calculating a respective sensitivity of each layer of plural layers included in the model, the model including a machine-learning model, calculating a first maintenance probability for a t-th repeated training of the model, calculating a respective maintenance probability of each of the plural layers of the model based on the respective sensitivity of each of the plural layers and based on the first maintenance probability for the t-th repeated training of the model, and performing the t-th repeated training of the model including training selected one or more maintenance layers, of the plural layers of the model, whose respective maintenance probabilities satisfy a first predetermined maintenance condition.
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