In-memory and in-sensor reservoir computing with memristive devices
Despite the significant progress made in deep learning on digital computers, their energy consumption and computational speed still fall short of meeting the standards for brain-like computing. To address these limitations, reservoir computing (RC) has been gaining increasing attention across commun...
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| Autors principals: | , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
AIP Publishing LLC
2024-03-01
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| Col·lecció: | APL Machine Learning |
| Accés en línia: | http://dx.doi.org/10.1063/5.0174863 |
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