Neuroinspired unsupervised learning and pruning with subquantum CBRAM arrays

To realize the potential of resistive RAM crossbar arrays as platforms for neuromorphic computing, reduced network-level energy consumption must be achieved. Here, the authors use a hardware/software co-design approach to realize reduced energy consumption during network training for the network.

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Autores principales: Yuhan Shi, Leon Nguyen, Sangheon Oh, Xin Liu, Foroozan Koushan, John R. Jameson, Duygu Kuzum
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
Materias:
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Acceso en línea:https://doaj.org/article/710e25b6bca046438cd3b187dd5be197
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