Materials challenges and opportunities for brain-inspired computing

Inspired by the working principles of the human brain, neuromorphic computing shows great potential in executing cognitive tasks such as learning and adaptation with high energy efficiency. A major challenge is the development of devices and circuits that can naturally replicate the behavior of neur...

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Veröffentlicht in:	MRS bulletin Jg. 46; H. 10; S. 978 - 986
Hauptverfasser:	Zhao, Y. D., Kang, J. F., Ielmini, D.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.10.2021 Springer Nature B.V
Schlagworte:	Applied and Technical Physics Brain Characterization and Evaluation of Materials Chemistry and Materials Science Circuits Cognitive tasks Energy consumption Energy Materials Hardware Materials Engineering Materials Science Nanotechnology Neuromorphic computing Review Article Synapses
ISSN:	0883-7694, 1938-1425
Online-Zugang:	Volltext
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