Passive frustrated nanomagnet reservoir computing
Rattachement africain : us, es. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
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. Ideally, a natural hardware reservoir should be passive, minimal, expressive, and feasible; to date, proposed hardware reservoirs have had difficulty meeting all of these criteria. We, therefore, propose a reservoir that meets all of these criteria by leveraging the passive interactions of dipole-coupled, frustrated nanomagnets. The frustration significantly increases the number of stable reservoir states, enriching reservoir dynamics, and as such these frustrated nanomagnets fulfill all of the criteria for a natural hardware reservoir. We likewise propose a complete frustrated nanomagnet reservoir computing (NMRC) system with low-power complementary metal-oxide semiconductor (CMOS) circuitry to interface with the reservoir, and initial experimental results demonstrate the reservoir’s feasibility. The reservoir is verified with micromagnetic simulations on three separate tasks demonstrating expressivity. The proposed system is compared with a CMOS echo state network (ESN), demonstrating an overall resource decrease by a factor of over 10,000,000, demonstrating that because NMRC is naturally passive and minimal it has the potential to be extremely resource efficient.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Passive frustrated nanomagnet reservoir computing
- Date Crossref
- 17/08/2023
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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The University of Texas at Dallas Department of Electrical and Computer Engineering pays non établi dans la noticeUniversité ou école supérieure
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Virginia Commonwealth University Department of Mechanical and Nuclear Engineering pays non établi dans la noticeUniversité ou école supérieure
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United States Air Force Research Laboratory pays non établi dans la noticeStructure de recherche
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Universidad de Salamanca pays non établi dans la noticeUniversité ou école supérieure
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Air Force Research Laboratory - Information Directorate pays non établi dans la noticeStructure de recherche
Department of Electrical and Computer Engineering — The University of Texas at Dallas, Department of Mechanical and Nuclear Engineering — Virginia Commonwealth University et United States Air Force Research Laboratory, avec 2 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.