Edge learning using a fully integrated neuro-inspired memristor chip

• Published in: Science (American Association for the Advancement of Science) Vol. 381; no. 6663; pp. 1205 - 1211
• 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: Washington The American Association for the Advancement of Science 15.09.2023
• Subjects: CMOS; Computer architecture; Energy efficiency; Image classification; Influence of Technology; Learning; Memristors; Motion control; Speech recognition

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...