Voltage-controlled superparamagnetic ensembles for low-power reservoir computing-Reference-Cited by-同舟云学术

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Voltage-controlled superparamagnetic ensembles for low-power reservoir computing

Published:2021-05-17 Issue:20 Volume:118 Page:202402
ISSN:0003-6951
Container-title:Applied Physics Letters
language:en
Short-container-title:Appl. Phys. Lett.

Author:

Welbourne A.¹^ORCID,Levy A. L. R.¹²^ORCID,Ellis M. O. A.³^ORCID,Chen H.¹,Thompson M. J.¹,Vasilaki E.³^ORCID,Allwood D. A.¹^ORCID,Hayward T. J.¹^ORCID

Affiliation:

1. Department of Material Science and Engineering, University of Sheffield, Sheffield S1 3JD, United Kingdom

2. Department of Physics, École Polytechnique, Paris, 91128 Palaiseau Cedex, France

3. Department of Computer Science, University of Sheffield, Sheffield S1 4DP, United Kingdom

Funder

Engineering and Physical Sciences Research Council

H2020 Future and Emerging Technologies

Publisher

AIP Publishing

Subject

Physics and Astronomy (miscellaneous)

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0048911

Reference41 articles.

1. E. Strubell , A. Ganesh , and A. McCallum , “ Energy and policy considerations for deep learning in NLP,” arXiv:1906.02243 (2019).

2. Big data needs a hardware revolution

3. A solution to the learning dilemma for recurrent networks of spiking neurons

4. Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication

5. Information processing using a single dynamical node as complex system

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