{"title":"实现全光学机器学习的纳米成像仪激光打印","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":"{\"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}","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}
Laser Printing of a Nano-Imager to Perform Full Optical Machine Learning
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].