{"title":"Laser Printing of a Nano-Imager to Perform Full Optical Machine Learning","authors":"E. Goi, M. Gu","doi":"10.1109/CLEOE-EQEC.2019.8872773","DOIUrl":null,"url":null,"abstract":"Applications of artificial intelligence techniques, specifically machine learning and more recently deep learning [1], are transforming several fields ranging from clinical medicine to optical computing. Integrating full-optical neuromorphic architectures in opto-electronic devices (Fig. 1a) will lead to the near-term availability of clinically and industrially relevant applications such as real-time features detection and classification, image processing and optical implementation of computational intensive tasks such as matrix multiplication with low-power consumption, high-accuracy and ultra-fast processing speed [2].","PeriodicalId":6714,"journal":{"name":"2019 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)","volume":"14 1","pages":"1-1"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLEOE-EQEC.2019.8872773","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Applications of artificial intelligence techniques, specifically machine learning and more recently deep learning [1], are transforming several fields ranging from clinical medicine to optical computing. Integrating full-optical neuromorphic architectures in opto-electronic devices (Fig. 1a) will lead to the near-term availability of clinically and industrially relevant applications such as real-time features detection and classification, image processing and optical implementation of computational intensive tasks such as matrix multiplication with low-power consumption, high-accuracy and ultra-fast processing speed [2].