Passive frustrated nanomagnet reservoir computing

Passive frustrated nanomagnet reservoir computing

Abstract Reservoir computing (RC) has received recent interest because reservoir weights do not need to be trained, enabling extremely low-resource consumption implementations, which could have a transformative impact on edge computing and in-situ learning where resources are severely constrained. I...

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Bibliographic Details
Main Authors: Alexander J. Edwards, Dhritiman Bhattacharya, Peng Zhou, Nathan R. McDonald, Walid Al Misba, Lisa Loomis, Felipe García-Sánchez, Naimul Hassan, Xuan Hu, Md. Fahim Chowdhury, Clare D. Thiem, Jayasimha Atulasimha, Joseph S. Friedman
Format: Article
Language:English
Published: Nature Portfolio 2023-08-01
Series:Communications Physics
Online Access:https://doi.org/10.1038/s42005-023-01324-8

Internet

https://doi.org/10.1038/s42005-023-01324-8

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