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Trainable hardware for dynamical computing using error backpropagation through physical media
Neural networks are currently implemented on digital Von Neumann machines, which do not fully leverage their intrinsic parallelism. We demonstrate how to use a novel class of reconfigurable dynamical systems for analogue information processing, mitigating this problem. Our generic hardware platform...
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| Publicado no: | Nat Commun |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Pub. Group
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4382991/ https://ncbi.nlm.nih.gov/pubmed/25801303 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ncomms7729 |
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