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Using Memristors for Robust Local Learning of Hardware Restricted Boltzmann Machines
One of the biggest stakes in nanoelectronics today is to meet the needs of Artificial Intelligence by designing hardware neural networks which, by fusing computation and memory, process and learn from data with limited energy. For this purpose, memristive devices are excellent candidates to emulate...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6372620/ https://www.ncbi.nlm.nih.gov/pubmed/30755662 http://dx.doi.org/10.1038/s41598-018-38181-3 |