Charge-domain content addressable memory based on ferroelectric capacitive memory for reliable and energy-efficient one-shot learning
Abstract Non-volatile content addressable memories (NV-CAMs) accelerate memory augmented neural networks (MANNs) for brain-like efficient learning from a few examples or even one example. However, most existing NV-CAMs operate in current domain, posing challenges in reliable, low-power, and sensing-...
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| Auteurs principaux: | , , , , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Nature Portfolio
2025-08-01
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| Collection: | Nature Communications |
| Accès en ligne: | https://doi.org/10.1038/s41467-025-63190-y |
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