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:	Science Q
Acceso en línea:	https://doaj.org/article/710e25b6bca046438cd3b187dd5be197
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spelling	oai:doaj.org-article:710e25b6bca046438cd3b187dd5be1972021-12-02T17:33:18ZNeuroinspired unsupervised learning and pruning with subquantum CBRAM arrays10.1038/s41467-018-07682-02041-1723https://doaj.org/article/710e25b6bca046438cd3b187dd5be1972018-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-07682-0https://doaj.org/toc/2041-1723To 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.Yuhan ShiLeon NguyenSangheon OhXin LiuForoozan KoushanJohn R. JamesonDuygu KuzumNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-11 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Yuhan Shi Leon Nguyen Sangheon Oh Xin Liu Foroozan Koushan John R. Jameson Duygu Kuzum Neuroinspired unsupervised learning and pruning with subquantum CBRAM arrays
description	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.
format	article
author	Yuhan Shi Leon Nguyen Sangheon Oh Xin Liu Foroozan Koushan John R. Jameson Duygu Kuzum
author_facet	Yuhan Shi Leon Nguyen Sangheon Oh Xin Liu Foroozan Koushan John R. Jameson Duygu Kuzum
author_sort	Yuhan Shi
title	Neuroinspired unsupervised learning and pruning with subquantum CBRAM arrays
title_short	Neuroinspired unsupervised learning and pruning with subquantum CBRAM arrays
title_full	Neuroinspired unsupervised learning and pruning with subquantum CBRAM arrays
title_fullStr	Neuroinspired unsupervised learning and pruning with subquantum CBRAM arrays
title_full_unstemmed	Neuroinspired unsupervised learning and pruning with subquantum CBRAM arrays
title_sort	neuroinspired unsupervised learning and pruning with subquantum cbram arrays
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/710e25b6bca046438cd3b187dd5be197
work_keys_str_mv	AT yuhanshi neuroinspiredunsupervisedlearningandpruningwithsubquantumcbramarrays AT leonnguyen neuroinspiredunsupervisedlearningandpruningwithsubquantumcbramarrays AT sangheonoh neuroinspiredunsupervisedlearningandpruningwithsubquantumcbramarrays AT xinliu neuroinspiredunsupervisedlearningandpruningwithsubquantumcbramarrays AT foroozankoushan neuroinspiredunsupervisedlearningandpruningwithsubquantumcbramarrays AT johnrjameson neuroinspiredunsupervisedlearningandpruningwithsubquantumcbramarrays AT duygukuzum neuroinspiredunsupervisedlearningandpruningwithsubquantumcbramarrays
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Neuroinspired unsupervised learning and pruning with subquantum CBRAM arrays

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