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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Bibliographic Details

Published in:	Science (American Association for the Advancement of Science) Vol. 381; no. 6663; p. 1205
Main Authors:	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
Format:	Journal Article
Language:	English
Published:	15.09.2023
ISSN:	1095-9203, 1095-9203
Online Access:	Get more information
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