A CMOS-integrated compute-in-memory macro based on resistive random-access memory for AI edge devices
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Title
A CMOS-integrated compute-in-memory macro based on resistive random-access memory for AI edge devices
Authors
Keywords
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Journal
Nature Electronics
Volume 4, Issue 1, Pages 81-90
Publisher
Springer Science and Business Media LLC
Online
2020-12-15
DOI
10.1038/s41928-020-00505-5
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- (2010) Julien Borghetti et al. NATURE
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