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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| 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 |