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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Vydané v:	MRS bulletin Ročník 46; číslo 10; s. 978 - 986
Hlavní autori:	Zhao, Y. D., Kang, J. F., Ielmini, D.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.10.2021 Springer Nature B.V
Predmet:	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
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