journal article·2022-05Open access

High On/Off Ratio Spintronic Multi‐Level Memory Unit for Deep Neural Network (Adv. Sci. 13/2022)

Kun Zhang, Xiaotao Jia, Kaihua Cao, Jinkai Wang, Yue Zhang, Kelian Lin, Lei Chen, Xueqiang Feng, Zhenyi Zheng, Zhizhong Zhang, Youguang Zhang, Weisheng Zhao

Advanced Science· Volume 9· Issue 13

Abstract

Spintronic Multi‐Level Memory Unit In article number 2103357 by Kun Zhang, Yue Zhang, and co‐workers, a spintronic multi‐level memory unit (MLMU) with high on/off ratio is constructed by integrating a magnetic tunnel junction chain and a diode in parallel. This MLMU can enable high‐accuracy artificial intelligence applications, such as a deep neural network accelerator for image classification. Just as described in the cover design, the MLMUs are regarded as building blocks to assemble the artificial‐intelligence brain. [Image: see text]
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Research context

OpenAlex topics: Machine Learning and ELM · Brain Tumor Detection and Classification · Advanced Memory and Neural Computing

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