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CMOS-compatible compute-in-memory accelerators based on integrated ferroelectric synaptic arrays for convolution neural networks
Author(s) -
MinKyu Kim,
IkJyae Kim,
JangSik Lee
Publication year - 2022
Publication title -
science advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.928
H-Index - 146
ISSN - 2375-2548
DOI - 10.1126/sciadv.abm8537
Subject(s) - computer science , crossbar switch , convolutional neural network , convolution (computer science) , cmos , computer hardware , transistor , artificial neural network , parallel computing , electronic engineering , artificial intelligence , voltage , electrical engineering , telecommunications , engineering

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