Prospects and applications of photonic neural networks

Neural networks have enabled applications in artificial intelligence through machine learning, and neuromorphic computing. Software implementations of neural networks on conventional computers that have separate memory and processor (and that operate sequentially) are limited in speed and energy eff...

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Autores principales:	Chaoran Huang, Volker J. Sorger, Mario Miscuglio, Mohammed Al-Qadasi, Avilash Mukherjee, Lutz Lampe, Mitchell Nichols, Alexander N. Tait, Thomas Ferreira de Lima, Bicky A. Marquez, Jiahui Wang, Lukas Chrostowski, Mable P. Fok, Daniel Brunner, Shanhui Fan, Sudip Shekhar, Paul R. Prucnal, Bhavin J. Shastri
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2022
Materias:	photonic neural networks neuromorphic photonics silicon photonics neuromorphic computing machine learning artificial intelligence Physics QC1-999
Acceso en línea:	https://doaj.org/article/b3c47388277c4f63929bcfe87ddd1369
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spelling	oai:doaj.org-article:b3c47388277c4f63929bcfe87ddd13692021-11-04T15:51:57ZProspects and applications of photonic neural networks2374-614910.1080/23746149.2021.1981155https://doaj.org/article/b3c47388277c4f63929bcfe87ddd13692022-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23746149.2021.1981155https://doaj.org/toc/2374-6149Neural networks have enabled applications in artificial intelligence through machine learning, and neuromorphic computing. Software implementations of neural networks on conventional computers that have separate memory and processor (and that operate sequentially) are limited in speed and energy efficiency. Neuromorphic engineering aims to build processors in which hardware mimics neurons and synapses in the brain for distributed and parallel processing. Neuromorphic engineering enabled by photonics (optical physics) can offer sub-nanosecond latencies and high bandwidth with low energies to extend the domain of artificial intelligence and neuromorphic computing applications to machine learning acceleration, nonlinear programming, intelligent signal processing, etc. Photonic neural networks have been demonstrated on integrated platforms and free-space optics depending on the class of applications being targeted. Here, we discuss the prospects and demonstrated applications of these photonic neural networks.Chaoran HuangVolker J. SorgerMario MiscuglioMohammed Al-QadasiAvilash MukherjeeLutz LampeMitchell NicholsAlexander N. TaitThomas Ferreira de LimaBicky A. MarquezJiahui WangLukas ChrostowskiMable P. FokDaniel BrunnerShanhui FanSudip ShekharPaul R. PrucnalBhavin J. ShastriTaylor & Francis Grouparticlephotonic neural networksneuromorphic photonicssilicon photonicsneuromorphic computingmachine learningartificial intelligencePhysicsQC1-999ENAdvances in Physics: X, Vol 7, Iss 1 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	photonic neural networks neuromorphic photonics silicon photonics neuromorphic computing machine learning artificial intelligence Physics QC1-999
spellingShingle	photonic neural networks neuromorphic photonics silicon photonics neuromorphic computing machine learning artificial intelligence Physics QC1-999 Chaoran Huang Volker J. Sorger Mario Miscuglio Mohammed Al-Qadasi Avilash Mukherjee Lutz Lampe Mitchell Nichols Alexander N. Tait Thomas Ferreira de Lima Bicky A. Marquez Jiahui Wang Lukas Chrostowski Mable P. Fok Daniel Brunner Shanhui Fan Sudip Shekhar Paul R. Prucnal Bhavin J. Shastri Prospects and applications of photonic neural networks
description	Neural networks have enabled applications in artificial intelligence through machine learning, and neuromorphic computing. Software implementations of neural networks on conventional computers that have separate memory and processor (and that operate sequentially) are limited in speed and energy efficiency. Neuromorphic engineering aims to build processors in which hardware mimics neurons and synapses in the brain for distributed and parallel processing. Neuromorphic engineering enabled by photonics (optical physics) can offer sub-nanosecond latencies and high bandwidth with low energies to extend the domain of artificial intelligence and neuromorphic computing applications to machine learning acceleration, nonlinear programming, intelligent signal processing, etc. Photonic neural networks have been demonstrated on integrated platforms and free-space optics depending on the class of applications being targeted. Here, we discuss the prospects and demonstrated applications of these photonic neural networks.
format	article
author	Chaoran Huang Volker J. Sorger Mario Miscuglio Mohammed Al-Qadasi Avilash Mukherjee Lutz Lampe Mitchell Nichols Alexander N. Tait Thomas Ferreira de Lima Bicky A. Marquez Jiahui Wang Lukas Chrostowski Mable P. Fok Daniel Brunner Shanhui Fan Sudip Shekhar Paul R. Prucnal Bhavin J. Shastri
author_facet	Chaoran Huang Volker J. Sorger Mario Miscuglio Mohammed Al-Qadasi Avilash Mukherjee Lutz Lampe Mitchell Nichols Alexander N. Tait Thomas Ferreira de Lima Bicky A. Marquez Jiahui Wang Lukas Chrostowski Mable P. Fok Daniel Brunner Shanhui Fan Sudip Shekhar Paul R. Prucnal Bhavin J. Shastri
author_sort	Chaoran Huang
title	Prospects and applications of photonic neural networks
title_short	Prospects and applications of photonic neural networks
title_full	Prospects and applications of photonic neural networks
title_fullStr	Prospects and applications of photonic neural networks
title_full_unstemmed	Prospects and applications of photonic neural networks
title_sort	prospects and applications of photonic neural networks
publisher	Taylor & Francis Group
publishDate	2022
url	https://doaj.org/article/b3c47388277c4f63929bcfe87ddd1369
work_keys_str_mv	AT chaoranhuang prospectsandapplicationsofphotonicneuralnetworks AT volkerjsorger prospectsandapplicationsofphotonicneuralnetworks AT mariomiscuglio prospectsandapplicationsofphotonicneuralnetworks AT mohammedalqadasi prospectsandapplicationsofphotonicneuralnetworks AT avilashmukherjee prospectsandapplicationsofphotonicneuralnetworks AT lutzlampe prospectsandapplicationsofphotonicneuralnetworks AT mitchellnichols prospectsandapplicationsofphotonicneuralnetworks AT alexanderntait prospectsandapplicationsofphotonicneuralnetworks AT thomasferreiradelima prospectsandapplicationsofphotonicneuralnetworks AT bickyamarquez prospectsandapplicationsofphotonicneuralnetworks AT jiahuiwang prospectsandapplicationsofphotonicneuralnetworks AT lukaschrostowski prospectsandapplicationsofphotonicneuralnetworks AT mablepfok prospectsandapplicationsofphotonicneuralnetworks AT danielbrunner prospectsandapplicationsofphotonicneuralnetworks AT shanhuifan prospectsandapplicationsofphotonicneuralnetworks AT sudipshekhar prospectsandapplicationsofphotonicneuralnetworks AT paulrprucnal prospectsandapplicationsofphotonicneuralnetworks AT bhavinjshastri prospectsandapplicationsofphotonicneuralnetworks
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Prospects and applications of photonic neural networks

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