{"title":"Introductory Review on All-Optical Machine Learning Leap in Photonic Integrated Circuits","authors":"Ankur Saharia, Kamalkishor Choure, Nitesh Mudgal, Ravi Kumar Maddila, Manish Tiwari, Ghanshyam Singh","doi":"10.3103/S1060992X22040075","DOIUrl":null,"url":null,"abstract":"<p>The human brain is the most complex circuit on the planet and the circuits inspired by the operation of the biological neuron are the most desired computing need. Artificial neural networks (ANN) are circuits that can replicate the biological neuron. Optical computing already doing wonders in integrated circuit technology and therefore the photonic implementation of neural networks is one of the most appealing technologies of the current era due to its low power consumption and high bandwidth. The ANN models are designed as per the signal processing of the human brain therefore they can be used to improve the analytic power of any system. This article reviews the advancement in optical neural networks and their application for future perspective.</p>","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":"31 4","pages":"393 - 402"},"PeriodicalIF":1.0000,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Memory and Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S1060992X22040075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0
Abstract
The human brain is the most complex circuit on the planet and the circuits inspired by the operation of the biological neuron are the most desired computing need. Artificial neural networks (ANN) are circuits that can replicate the biological neuron. Optical computing already doing wonders in integrated circuit technology and therefore the photonic implementation of neural networks is one of the most appealing technologies of the current era due to its low power consumption and high bandwidth. The ANN models are designed as per the signal processing of the human brain therefore they can be used to improve the analytic power of any system. This article reviews the advancement in optical neural networks and their application for future perspective.
期刊介绍:
The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, optoelectronic and holographic nanostructures, and many other related topics. Papers on memory systems using holographic and biological structures and concepts of brain operation are also included. The journal pays particular attention to research in the field of neural net systems that may lead to a new generation of computional technologies by endowing them with intelligence.