Edge learning using a fully integrated neuro-inspired memristor chip

Learning is highly important for edge intelligence devices to adapt to different application scenes and owners. Current technologies for training neural networks require moving massive amounts of data between computing and memory units, which hinders the implementation of learning on edge devices. W...

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Vydané v:	Science (American Association for the Advancement of Science) Ročník 381; číslo 6663; s. 1205
Hlavní autori:	Zhang, Wenbin, Yao, Peng, Gao, Bin, Liu, Qi, Wu, Dong, Zhang, Qingtian, Li, Yuankun, Qin, Qi, Li, Jiaming, Zhu, Zhenhua, Cai, Yi, Wu, Dabin, Tang, Jianshi, Qian, He, Wang, Yu, Wu, Huaqiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	15.09.2023
ISSN:	1095-9203, 1095-9203
On-line prístup:	Zistit podrobnosti o prístupe
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