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Logic-in-Memory Based on an Atomically Thin Semiconductor
The growing importance of applications based on machine learning is driving the need to develop dedicated, energy-efficient electronic hardware. Compared with von-Neumann architectures, brain-inspired in-memory computing uses the same basic device structure for logic operations and data storage(1–3)...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7116757/ https://www.ncbi.nlm.nih.gov/pubmed/33149289 http://dx.doi.org/10.1038/s41586-020-2861-0 |