Analog monolayer SWCNTs-based memristive 2D structure for energy-efficient deep learning in spiking neural networks
Abstract 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 wor...
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| Autores principales: | , , , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Nature Portfolio
2023-12-01
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| Colección: | Scientific Reports |
| Acceso en línea: | https://doi.org/10.1038/s41598-023-48529-z |
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