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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Detalles Bibliográficos
Autores principales: Joksas, D., Freitas, P., Chai, Z., Ng, W. H., Buckwell, M., Li, C., Zhang, W. D., Xia, Q., Kenyon, A. J., Mehonic, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7450095/
https://www.ncbi.nlm.nih.gov/pubmed/32848139
http://dx.doi.org/10.1038/s41467-020-18098-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7450095/
https://www.ncbi.nlm.nih.gov/pubmed/32848139
http://dx.doi.org/10.1038/s41467-020-18098-0

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