Logic Computing with Stateful Neural Networks of Resistive Switches

Brain‐inspired neural networks can process information with high efficiency, thus providing a powerful tool for pattern recognition and other artificial intelligent tasks. By adopting binary inputs/outputs, neural networks can be used to perform Boolean logic operations, thus potentially surpassing...

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Bibliographic Details
Published in:	Advanced materials (Weinheim) Vol. 30; no. 38; pp. e1802554 - n/a
Main Authors:	Sun, Zhong, Ambrosi, Elia, Bricalli, Alessandro, Ielmini, Daniele
Format:	Journal Article
Language:	English
Published:	Germany Wiley Subscription Services, Inc 01.09.2018
Subjects:	Boolean algebra Brain Computing time in‐memory computing Ion migration Logic Materials science Neural networks neuromorphic Ohm's Law Pattern recognition Reconfiguration resistive switching memory stateful logic Switches Switching theory stateful logic in-memory computing resistive switching memory neural networks neuromorphic
ISSN:	0935-9648, 1521-4095, 1521-4095
Online Access:	Get full text
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