A Fully-Integrated Memristor Chip for Edge Learning  

作　　者：Yanhong Zhang Liang Chu Wenjun Li 

机构地区：[1]School of Electronics and Information,Hangzhou Dianzi University,Hangzhou 310018,People’s Republic of China

出　　处：《Nano-Micro Letters》2024年第9期123-127,共5页纳微快报（英文版）

基　　金：funding support from the National Natural Science Foundation of China(52172205).

摘　　要：It is still challenging to fully integrate computing in memory chip as edge learning devices.In recent work published on Science,a fully-integrated chip based on neuromorphic memristors was developed for edge learning as artificial neural networks with functionality of synapses,dendrites,and somas.A crossbar-array memristor chip facilitated edge learning including hardware realization,learning algorithm,and cycle-parallel sign-and threshold-based learning(STELLAR)scheme.The motion control and demonstration platforms were executed to improve the edge learning ability for adapting to new scenarios.

关 键 词：Computing in memory Edge learning Fully-integrated chip 

分 类 号：TN60[电子电信—电路与系统] TN40[自动化与计算机技术—计算机应用技术] TP393.09[自动化与计算机技术—计算机科学与技术]