Face classification using electronic synapses

Using chips that mimic the human brain to perform cognitive tasks, namely neuromorphic computing, calls for low power and high efficiency hardware. Here, Yaoet al. show on-chip analogue weight storage by integrating non-volatile resistive memory into a CMOS platform and test it in facial recognition...

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Autores principales:	Peng Yao, Huaqiang Wu, Bin Gao, Sukru Burc Eryilmaz, Xueyao Huang, Wenqiang Zhang, Qingtian Zhang, Ning Deng, Luping Shi, H.-S. Philip Wong, He Qian
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/3beae95efb8042dd8900349478d0b543
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:3beae95efb8042dd8900349478d0b543
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spelling	oai:doaj.org-article:3beae95efb8042dd8900349478d0b5432021-12-02T14:42:08ZFace classification using electronic synapses10.1038/ncomms151992041-1723https://doaj.org/article/3beae95efb8042dd8900349478d0b5432017-05-01T00:00:00Zhttps://doi.org/10.1038/ncomms15199https://doaj.org/toc/2041-1723Using chips that mimic the human brain to perform cognitive tasks, namely neuromorphic computing, calls for low power and high efficiency hardware. Here, Yaoet al. show on-chip analogue weight storage by integrating non-volatile resistive memory into a CMOS platform and test it in facial recognition.Peng YaoHuaqiang WuBin GaoSukru Burc EryilmazXueyao HuangWenqiang ZhangQingtian ZhangNing DengLuping ShiH.-S. Philip WongHe QianNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-8 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Peng Yao Huaqiang Wu Bin Gao Sukru Burc Eryilmaz Xueyao Huang Wenqiang Zhang Qingtian Zhang Ning Deng Luping Shi H.-S. Philip Wong He Qian Face classification using electronic synapses
description	Using chips that mimic the human brain to perform cognitive tasks, namely neuromorphic computing, calls for low power and high efficiency hardware. Here, Yaoet al. show on-chip analogue weight storage by integrating non-volatile resistive memory into a CMOS platform and test it in facial recognition.
format	article
author	Peng Yao Huaqiang Wu Bin Gao Sukru Burc Eryilmaz Xueyao Huang Wenqiang Zhang Qingtian Zhang Ning Deng Luping Shi H.-S. Philip Wong He Qian
author_facet	Peng Yao Huaqiang Wu Bin Gao Sukru Burc Eryilmaz Xueyao Huang Wenqiang Zhang Qingtian Zhang Ning Deng Luping Shi H.-S. Philip Wong He Qian
author_sort	Peng Yao
title	Face classification using electronic synapses
title_short	Face classification using electronic synapses
title_full	Face classification using electronic synapses
title_fullStr	Face classification using electronic synapses
title_full_unstemmed	Face classification using electronic synapses
title_sort	face classification using electronic synapses
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/3beae95efb8042dd8900349478d0b543
work_keys_str_mv	AT pengyao faceclassificationusingelectronicsynapses AT huaqiangwu faceclassificationusingelectronicsynapses AT bingao faceclassificationusingelectronicsynapses AT sukruburceryilmaz faceclassificationusingelectronicsynapses AT xueyaohuang faceclassificationusingelectronicsynapses AT wenqiangzhang faceclassificationusingelectronicsynapses AT qingtianzhang faceclassificationusingelectronicsynapses AT ningdeng faceclassificationusingelectronicsynapses AT lupingshi faceclassificationusingelectronicsynapses AT hsphilipwong faceclassificationusingelectronicsynapses AT heqian faceclassificationusingelectronicsynapses
_version_	1718389743778004992

Face classification using electronic synapses

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