B. Shastri, T. F. de Lima, Chaoran Huang, B. Marquez, S. Shekhar, L. Chrostowski, P. Prucnal
{"title":"Silicon Photonics for Artificial Intelligence and Neuromorphic Computing","authors":"B. Shastri, T. F. de Lima, Chaoran Huang, B. Marquez, S. Shekhar, L. Chrostowski, P. Prucnal","doi":"10.1109/SUM48717.2021.9505837","DOIUrl":null,"url":null,"abstract":"Artificial intelligence and neuromorphic computing driven by neural networks has enabled many applications. Software implementations of neural networks on electronic platforms are limited in speed and energy efficiency. Neuromorphic photonics aims to build processors in which optical hardware mimic neural networks in the brain. © 2021 The Author(s)","PeriodicalId":359978,"journal":{"name":"2021 IEEE Photonics Society Summer Topicals Meeting Series (SUM)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Photonics Society Summer Topicals Meeting Series (SUM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SUM48717.2021.9505837","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
用于人工智能和神经形态计算的硅光子学
由神经网络驱动的人工智能和神经形态计算已经实现了许多应用。神经网络在电子平台上的软件实现在速度和能效方面受到限制。神经形态光子学的目标是制造处理器,其中的光学硬件可以模拟大脑中的神经网络。©2021作者
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