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Simulation of Inference Accuracy Using Realistic RRAM Devices
Resistive Random Access Memory (RRAM) is a promising technology for power efficient hardware in applications of artificial intelligence (AI) and machine learning (ML) implemented in non-von Neumann architectures. However, there is an unanswered question if the device non-idealities preclude the use...
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| Yayımlandı: | Front Neurosci |
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| Asıl Yazarlar: | , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Frontiers Media S.A.
2019
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6582938/ https://ncbi.nlm.nih.gov/pubmed/31249502 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2019.00593 |
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