Gradient Descent on Multilevel Spin–Orbit Synapses with Tunable Variations

Gradient Descent on Multilevel Spin–Orbit Synapses with Tunable Variations

Neuromorphic computing using multilevel nonvolatile memories as synapses offers opportunities for future energy‐ and area‐efficient artificial intelligence. Among these memories, artificial synapses based on current‐induced magnetization switching driven by spin–orbit torques (SOTs) have attracted g...

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Bibliographic Details
Main Authors: Xiukai Lan, Yi Cao, Xiangyu Liu, Kaijia Xu, Chuan Liu, Houzhi Zheng, Kaiyou Wang
Format: Article
Language:English
Published: Wiley 2021-06-01
Series:Advanced Intelligent Systems
Subjects:
cycle-to-cycle variations
gradient descents
linearity deviation
linearity ranges
multilevel magnetization switching
pattern classifications
Online Access:https://doi.org/10.1002/aisy.202000182

Internet

https://doi.org/10.1002/aisy.202000182

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