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...

Descripción completa

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:
Article
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

Internet

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

Ejemplares similares