{"id":568,"date":"2018-04-17T10:20:09","date_gmt":"2018-04-17T08:20:09","guid":{"rendered":"http:\/\/194.57.84.143\/?p=568"},"modified":"2018-04-23T14:04:18","modified_gmt":"2018-04-23T12:04:18","slug":"optical-hardware-neural-networks-chasing-for-the-performance-of-human-brain","status":"publish","type":"post","link":"https:\/\/gradschool.eiphi.ubfc.fr\/?p=568","title":{"rendered":"Optical hardware neural networks chasing for the performance of human brain"},"content":{"rendered":"<p><strong><u>Axis 2 &#8211; Monitoring and Prediction of Complex Systems:<\/u><\/strong><\/p>\n<h1><strong>Optical hardware neural networks chasing for the performance of human brain<\/strong><\/h1>\n<p>&nbsp;<\/p>\n<p><strong>Neuromorphic computing<\/strong>, whose principles are inspired by the human brain, is a revolutionary <strong>analog paradigm<\/strong> for <strong>artificial intelligence<\/strong>, able to solve complex computational tasks with performances that digital computer science struggles or even fails to provide. It has been applied to benchmark problems such as <a href=\"https:\/\/physics.aps.org\/articles\/v10\/12\">speech<\/a> or image recognition, or processing and prediction\/classification of complex multi-parameter signals, demonstrating excellent potential for applications like financial forecasting, electroencephalography or fuel cell system control. EIPHI researchers are among the <a href=\"https:\/\/www.osapublishing.org\/DirectPDFAccess\/D446683B-012D-AACC-4F7B28695BDBA0A9_227221\/oe-20-3-3241.pdf?da=1&amp;id=227221&amp;seq=0&amp;mobile=no\">pioneers<\/a> in its <a href=\"https:\/\/www.youtube.com\/watch?v=HzBnDWxuKO4\"><strong>hardware development<\/strong><\/a>, creating intelligent <a href=\"http:\/\/i-site.ubfc.fr\/en\/brain-inspired-photonic-computer\/\"><strong>optoelectronic processors<\/strong><\/a> fully following neuromorphic design principles. In such <a href=\"http:\/\/www.labex-action.fr\/sites\/default\/files\/content\/Poster%20ACTION_Brain-inspired%20photonic%20computers.pdf\">advanced physical implementations<\/a>, individual neurons (<em>e.g.<\/em> a pixel of a light modulator or micro-lasers in a laser array) are nonlinearly interconnected into a so-called <strong>optical neural network<\/strong>, which after a trained readout learning stage can autonomously process the incoming data. Sheler Maktoobi, an EIPHI doctorate student, has dedicated herself to address the challenge of creating large reservoirs of potentially <strong>millions of neuronal photonic interconnects<\/strong>, optimizing their connectivity and learning. Recognizing her excellent work, she was recently awarded the <strong>Best Poster Presentation<\/strong> at the <a href=\"http:\/\/event.unitn.it\/optics2018\">6th International Symposium in Optics and its Applications<\/a> of the SPIE Student Chapter at Trento, Italy, Feb. 2018, for her contribution &#8220;Diffractive coupling for Optical Neural Networks&#8221;.<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-570\" src=\"http:\/\/194.57.84.143\/wp-content\/uploads\/2018\/04\/image8-225x300.jpeg\" alt=\"\" width=\"225\" height=\"300\" srcset=\"https:\/\/gradschool.eiphi.ubfc.fr\/wp-content\/uploads\/2018\/04\/image8-225x300.jpeg 225w, https:\/\/gradschool.eiphi.ubfc.fr\/wp-content\/uploads\/2018\/04\/image8.jpeg 530w\" sizes=\"auto, (max-width: 225px) 100vw, 225px\" \/> <img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-569\" src=\"http:\/\/194.57.84.143\/wp-content\/uploads\/2018\/04\/image9-300x225.jpg\" alt=\"\" width=\"300\" height=\"225\" srcset=\"https:\/\/gradschool.eiphi.ubfc.fr\/wp-content\/uploads\/2018\/04\/image9-300x225.jpg 300w, https:\/\/gradschool.eiphi.ubfc.fr\/wp-content\/uploads\/2018\/04\/image9-768x576.jpg 768w, https:\/\/gradschool.eiphi.ubfc.fr\/wp-content\/uploads\/2018\/04\/image9.jpg 965w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Axis 2 &#8211; Monitoring and Prediction of Complex Systems: Optical hardware neural networks chasing for the performance of human brain &nbsp; Neuromorphic computing, whose principles are inspired by the human brain, is a revolutionary analog paradigm for artificial intelligence, able to solve complex computational tasks with performances that digital computer science struggles or even fails [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[6],"tags":[],"class_list":["post-568","post","type-post","status-publish","format-standard","hentry","category-monitoring-and-prediction-of-complex-systems"],"acf":[],"_links":{"self":[{"href":"https:\/\/gradschool.eiphi.ubfc.fr\/index.php?rest_route=\/wp\/v2\/posts\/568","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gradschool.eiphi.ubfc.fr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gradschool.eiphi.ubfc.fr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gradschool.eiphi.ubfc.fr\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/gradschool.eiphi.ubfc.fr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=568"}],"version-history":[{"count":4,"href":"https:\/\/gradschool.eiphi.ubfc.fr\/index.php?rest_route=\/wp\/v2\/posts\/568\/revisions"}],"predecessor-version":[{"id":596,"href":"https:\/\/gradschool.eiphi.ubfc.fr\/index.php?rest_route=\/wp\/v2\/posts\/568\/revisions\/596"}],"wp:attachment":[{"href":"https:\/\/gradschool.eiphi.ubfc.fr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=568"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gradschool.eiphi.ubfc.fr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=568"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gradschool.eiphi.ubfc.fr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=568"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}