Chalcogenide optomemristors for multi-factor neuromorphic computation

Neuromorphic hardware that emulates biological computations is a key driver of progress in AI. For example, memristive technologies, including chalcogenide-based in-memory computing concepts, have been employed to dramatically accelerate and increase the efficiency of basic neural operations. Howeve...

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Detalles Bibliográficos
Autores principales: Sarwat, Syed Ghazi, Moraitis, Timoleon, Wright, C. David, Bhaskaran, Harish
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/PMC9042832/
https://www.ncbi.nlm.nih.gov/pubmed/35474061
http://dx.doi.org/10.1038/s41467-022-29870-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9042832/
https://www.ncbi.nlm.nih.gov/pubmed/35474061
http://dx.doi.org/10.1038/s41467-022-29870-9

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