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公开(公告)号:US20240289597A1
公开(公告)日:2024-08-29
申请号:US18656130
申请日:2024-05-06
Applicant: Micron Technology, Inc.
Inventor: Jing Gong , Stewart R. Watson , Dmitry Vengertsev , Ameya Parab
Abstract: Apparatuses and methods can be related to implementing a transformer neural network in a memory. A transformer neural network can be implemented utilizing a resistive memory array. The memory array can comprise programmable memory cells that can be programed and used to store weights of the transformer neural network and perform operations consistent with the transformer neural network.
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公开(公告)号:US20220067491A1
公开(公告)日:2022-03-03
申请号:US17006602
申请日:2020-08-28
Applicant: Micron Technology, Inc.
Inventor: Dmitry Vengertsev , Stewart R. Watson , Jing Gong , Ameya Parab
Abstract: Apparatuses and methods can be related to implementing a Bayesian neural network in a memory. A Bayesian neural network can be implemented utilizing a resistive memory array. The memory array can comprise programmable memory cells that can be programed and used to store weights of the Bayesian neural network and perform operations consistent with the Bayesian neural network.
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公开(公告)号:US11983619B2
公开(公告)日:2024-05-14
申请号:US16994302
申请日:2020-08-14
Applicant: Micron Technology, Inc.
Inventor: Jing Gong , Stewart R. Watson , Dmitry Vengertsev , Ameya Parab
Abstract: Apparatuses and methods can be related to implementing a transformer neural network in a memory. A transformer neural network can be implemented utilizing a resistive memory array. The memory array can comprise programmable memory cells that can be programed and used to store weights of the transformer neural network and perform operations consistent with the transformer neural network.
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公开(公告)号:US11681906B2
公开(公告)日:2023-06-20
申请号:US17006602
申请日:2020-08-28
Applicant: Micron Technology, Inc.
Inventor: Dmitry Vengertsev , Stewart R. Watson , Jing Gong , Ameya Parab
CPC classification number: G06N3/063 , G06N3/084 , G06N5/046 , G06N7/01 , G11C11/54 , G11C13/004 , G11C13/0009 , G11C13/0069 , H03M1/36
Abstract: Apparatuses and methods can be related to implementing a Bayesian neural network in a memory. A Bayesian neural network can be implemented utilizing a resistive memory array. The memory array can comprise programmable memory cells that can be programed and used to store weights of the Bayesian neural network and perform operations consistent with the Bayesian neural network.
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