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Analog monolayer SWCNTs-based memristive 2D structure for energy-efficient deep learning in spiking neural networks

Advances in materials science and memory devices work in tandem for the evolution of Artificial Intelligence systems. Energy-efficient computation is the ultimate goal of emerging memristor technology, in which the storage and computation can be done in the same memory crossbar. In this work, an ana...

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Detalles Bibliográficos
Autores principales: Abunahla, Heba, Abbas, Yawar, Gebregiorgis, Anteneh, Waheed, Waqas, Mohammad, Baker, Hamdioui, Said, Alazzam, Anas, Rezeq, Moh’d
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696067/
https://www.ncbi.nlm.nih.gov/pubmed/38049534
http://dx.doi.org/10.1038/s41598-023-48529-z