V. Bangari, B. Marquez, A. Tait, M. Nahmias, T. F. de Lima, H. T. Peng, P. Prucnal, B. Shastri
{"title":"Neuromorphic Photonics for Deep Learning","authors":"V. Bangari, B. Marquez, A. Tait, M. Nahmias, T. F. de Lima, H. T. Peng, P. Prucnal, B. Shastri","doi":"10.1109/IPCon.2019.8908375","DOIUrl":null,"url":null,"abstract":"Co-integrated neuromorphic photonic and electronic processors promise orders of magnitude improvements in both speed and energy efficiency over purely digital electronic approaches. We discuss neuromorphic photonic systems and their application to deep convolutional neural networks inference.","PeriodicalId":314151,"journal":{"name":"2019 IEEE Photonics Conference (IPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Photonics Conference (IPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPCon.2019.8908375","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Co-integrated neuromorphic photonic and electronic processors promise orders of magnitude improvements in both speed and energy efficiency over purely digital electronic approaches. We discuss neuromorphic photonic systems and their application to deep convolutional neural networks inference.