An adaptive synaptic array using Fowler–Nordheim dynamic analog memory

In this paper we present an adaptive synaptic array that can be used to improve the energy-efficiency of training machine learning (ML) systems. The synaptic array comprises of an ensemble of analog memory elements, each of which is a micro-scale dynamical system in its own right, storing informatio...

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Detalles Bibliográficos
Autores principales: Mehta, Darshit, Rahman, Mustafizur, Aono, Kenji, Chakrabartty, Shantanu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964701/
https://www.ncbi.nlm.nih.gov/pubmed/35351886
http://dx.doi.org/10.1038/s41467-022-29320-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964701/
https://www.ncbi.nlm.nih.gov/pubmed/35351886
http://dx.doi.org/10.1038/s41467-022-29320-6

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