AI and Optical Data Sciences II最新文献

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Diffractive optical neural networks 衍射光学神经网络
AI and Optical Data Sciences II Pub Date : 2021-03-05 DOI: 10.1117/12.2585708
Aydogan Ozcan
{"title":"Diffractive optical neural networks","authors":"Aydogan Ozcan","doi":"10.1117/12.2585708","DOIUrl":"https://doi.org/10.1117/12.2585708","url":null,"abstract":"We introduce a diffractive optical neural network architecture that can all-optically implement various functions, following the deep learning-based design of passive layers that work collectively. We created 3D-printed diffractive networks that implement all-optical classification of images of handwritten digits and fashion products as well as the function of an imaging lens, spectral filters, wavelength demultiplexers and ultra-short pulse shapers at terahertz part of the spectrum. This passive diffractive network framework is broadly applicable to different parts of the electromagnetic spectrum, including the visible wavelengths, and can perform at the speed of light various complex functions that computer-based neural networks can implement, and will find applications in all-optical image analysis, feature detection and object classification, also enabling new camera designs and optical components that perform unique tasks using diffractive networks designed by deep learning.","PeriodicalId":374874,"journal":{"name":"AI and Optical Data Sciences II","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127629621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Nanoimprint process to mass manufacture highly-angled high-RI gratings for augmented-reality combiners 用于增强现实组合器的高角度高ri光栅的纳米压印工艺
AI and Optical Data Sciences II Pub Date : 2021-03-05 DOI: 10.1117/12.2585973
Calafiore Giuseppe
{"title":"Nanoimprint process to mass manufacture highly-angled high-RI gratings for augmented-reality combiners","authors":"Calafiore Giuseppe","doi":"10.1117/12.2585973","DOIUrl":"https://doi.org/10.1117/12.2585973","url":null,"abstract":"Blazed and slanted gratings present particularly interesting optical properties in that they can diffract light predominantly into one side of the diffraction plane (m≤0 or m≥0). This is useful in a variety of applications, especially for AR display combiners, where slanted gratings are commonly used to improve efficiency to the eyebox. Nanoimprint lithography (NIL) has been explored as a route to mass manufacture AR waveguides with slanted structures. However, NIL presents several challenges associated with the process of molding and releasing angled features in a high refractive-index, functional material.\u0000In this paper we report a series of breakthroughs achieved at Facebook Reality Labs (FRL) that enable replication of gratings with a slant angle up to 60° and an aspect ratio of 10:1 in a material with refractive index higher than 1.90. To the best of our knowledge, these results are the first public demonstration of highly-slanted gratings imprinted in such a RI material.","PeriodicalId":374874,"journal":{"name":"AI and Optical Data Sciences II","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130067378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Front Matter: Volume 11703 前题:卷11703
AI and Optical Data Sciences II Pub Date : 1900-01-01 DOI: 10.1117/12.2596567
{"title":"Front Matter: Volume 11703","authors":"","doi":"10.1117/12.2596567","DOIUrl":"https://doi.org/10.1117/12.2596567","url":null,"abstract":"","PeriodicalId":374874,"journal":{"name":"AI and Optical Data Sciences II","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133951641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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