{"title":"利用波长节点开发基于水库计算的集成光子人工智能","authors":"Ning Jing, Chao Wang","doi":"10.1117/12.3005119","DOIUrl":null,"url":null,"abstract":"Understanding and dealing with complex, large-scale, nonlinear complex systems such as those studied in the fields of bionic computing, climate change, molecular modelling, economic development, and language processing are important. In recent decades, artificial intelligence (AI) technology has played a prominent role in dealing with complex systems and problems, and the continuous improvement of the performance of various AI computing equipment is one of the decisive factors for its rapid development.","PeriodicalId":298662,"journal":{"name":"Applied Optics and Photonics China","volume":" 47","pages":"1296608 - 1296608-3"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of integrated photonic AI based on reservoir computing with wavelength nodes\",\"authors\":\"Ning Jing, Chao Wang\",\"doi\":\"10.1117/12.3005119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Understanding and dealing with complex, large-scale, nonlinear complex systems such as those studied in the fields of bionic computing, climate change, molecular modelling, economic development, and language processing are important. In recent decades, artificial intelligence (AI) technology has played a prominent role in dealing with complex systems and problems, and the continuous improvement of the performance of various AI computing equipment is one of the decisive factors for its rapid development.\",\"PeriodicalId\":298662,\"journal\":{\"name\":\"Applied Optics and Photonics China\",\"volume\":\" 47\",\"pages\":\"1296608 - 1296608-3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Optics and Photonics China\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.3005119\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Optics and Photonics China","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.3005119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of integrated photonic AI based on reservoir computing with wavelength nodes
Understanding and dealing with complex, large-scale, nonlinear complex systems such as those studied in the fields of bionic computing, climate change, molecular modelling, economic development, and language processing are important. In recent decades, artificial intelligence (AI) technology has played a prominent role in dealing with complex systems and problems, and the continuous improvement of the performance of various AI computing equipment is one of the decisive factors for its rapid development.
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