N. Peserico, Hangbo Yang, Xiaoxuan Ma, Shurui Li, M. Hosseini, J. George, Puneet Gupta, C. Wong, V. Sorger
{"title":"Design, Packaging, and Testing of Silicon Photonics JTC for Convolution Neural Network","authors":"N. Peserico, Hangbo Yang, Xiaoxuan Ma, Shurui Li, M. Hosseini, J. George, Puneet Gupta, C. Wong, V. Sorger","doi":"10.1109/SiPhotonics55903.2023.10141918","DOIUrl":null,"url":null,"abstract":"Convolution Neural Networks are one of the most powerful types of Neural Networks. However, the 2D convolution task is computationally heavy. Here, we present an integrated Silicon Photonic chip that can perform the Joint Transfer Convolution, using the properties of light propagation.","PeriodicalId":105710,"journal":{"name":"2023 IEEE Silicon Photonics Conference (SiPhotonics)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Silicon Photonics Conference (SiPhotonics)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SiPhotonics55903.2023.10141918","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Convolution Neural Networks are one of the most powerful types of Neural Networks. However, the 2D convolution task is computationally heavy. Here, we present an integrated Silicon Photonic chip that can perform the Joint Transfer Convolution, using the properties of light propagation.