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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Veröffentlicht in:	Advanced materials (Weinheim) Jg. 30; H. 38; S. e1802554 - n/a
Hauptverfasser:	Sun, Zhong, Ambrosi, Elia, Bricalli, Alessandro, Ielmini, Daniele
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Germany Wiley Subscription Services, Inc 01.09.2018
Schlagworte:	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-Zugang:	Volltext
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