Committee machines—a universal method to deal with non-idealities in memristor-based neural networks

Artificial neural networks are notoriously power- and time-consuming when implemented on conventional von Neumann computing systems. Consequently, recent years have seen an emergence of research in machine learning hardware that strives to bring memory and computing closer together. A popular approa...

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Detalhes bibliográficos
Publicado no:Nat Commun
Main Authors: Joksas, D., Freitas, P., Chai, Z., Ng, W. H., Buckwell, M., Li, C., Zhang, W. D., Xia, Q., Kenyon, A. J., Mehonic, A.
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7450095/
https://ncbi.nlm.nih.gov/pubmed/32848139
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-18098-0
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