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公开(公告)号:US20250107332A1
公开(公告)日:2025-03-27
申请号:US18970364
申请日:2024-12-05
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor: Po-Chun YEH , Sih-Han LI , Jian-Wei SU
IPC: H10K59/121 , H10K59/12
Abstract: An all-oxide transistor structure includes a substrate, a first transistor, a second transistor, a third transistor and a fourth transistor. The substrate has an upper surface. The first transistor is disposed on the upper surface of the substrate. The second transistor is disposed on the upper surface of the substrate, wherein the second transistor is electrically connected to the first transistor. The third transistor is electrically connected to the second transistor and overlapped with the second transistor in a first direction, wherein the first direction is parallel to a normal direction of the upper surface of the substrate. The fourth transistor is disposed on the upper surface of the substrate, wherein the fourth transistor is electrically connected to the first transistor, the second transistor and the third transistor.
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公开(公告)号:US20220223202A1
公开(公告)日:2022-07-14
申请号:US17322509
申请日:2021-05-17
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor: Chih-Sheng LIN , Sih-Han LI , Yu-Hui LIN , Jian-Wei SU
Abstract: A memory device for in-memory computation includes data channels, a memory cell array, a maximum accumulated weight generating array, a minimum accumulated weight generating array, a reference generator and a comparator. The data channels are selectively enabled according to data input. The memory cell array generates an accumulated data weight value according to the quantity of enabled data channels, a first resistance and a second resistance. The maximum accumulated weight generating array generates a maximum accumulated weight value according to the quantity of enabled data channels and the first resistance. The minimum accumulated weight generating array generates a minimum accumulated weight value according to the quantity of enabled data channels and the second resistance. The reference generator generates reference value(s) according to the maximum and minimum accumulated weight values. The comparator compares the accumulated data weight value with the reference value(s) to generate a data weight state.
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