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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)...
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| Veröffentlicht in: | Nature |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7116757/ https://ncbi.nlm.nih.gov/pubmed/33149289 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41586-020-2861-0 |
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