Neuroinspired unsupervised learning and pruning with subquantum CBRAM arrays

Resistive RAM crossbar arrays offer an attractive solution to minimize off-chip data transfer and parallelize on-chip computations for neural networks. Here, we report a hardware/software co-design approach based on low energy subquantum conductive bridging RAM (CBRAM®) devices and a network pruning...

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Detalles Bibliográficos
Autores principales: Shi, Yuhan, Nguyen, Leon, Oh, Sangheon, Liu, Xin, Koushan, Foroozan, Jameson, John R., Kuzum, Duygu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294253/
https://www.ncbi.nlm.nih.gov/pubmed/30552329
http://dx.doi.org/10.1038/s41467-018-07682-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294253/
https://www.ncbi.nlm.nih.gov/pubmed/30552329
http://dx.doi.org/10.1038/s41467-018-07682-0

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