{"id":374,"date":"2024-03-08T14:18:00","date_gmt":"2024-03-08T14:18:00","guid":{"rendered":"https:\/\/orca-lab.etf.bg.ac.rs\/?p=374"},"modified":"2024-04-08T14:19:50","modified_gmt":"2024-04-08T14:19:50","slug":"orca-labs-new-paper","status":"publish","type":"post","link":"https:\/\/orca-lab.etf.bg.ac.rs\/?p=374","title":{"rendered":"ORCA-lab’s new paper"},"content":{"rendered":"\n

We’re pleased to share our latest findings: a theoretical investigation into the application of a bistable Fabry\u2013Perot semiconductor laser under optical injection as an all-optical activation unit for multilayer perceptron optical neural networks.

In this study, we’ve examined the device’s ability to provide reconfigurable sigmoid-like activation functions with adjustable thresholds and saturation points. These functions were then benchmarked on machine learning image recognition problems.

The results? By adjusting a control parameter of the activation unit, we observed an increase in accuracy of up to 2% across various tasks. Notably, with a simple two-layer perceptron neural network, we achieved inference accuracies of up to 95% for the MNIST dataset and 85% for the Fashion-MNIST dataset.

This research sheds light on the potential of optical technology in enhancing machine learning capabilities. Stay tuned for further updates from our team.

Paper: link<\/a>
Authors: <\/a>Jasna Crnjanski, <\/a>Isidora Teofilovi\u0107, <\/a>Marko Krsti\u0107, <\/a>Dejan Gvozdi\u0107<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

We’re pleased to share our latest findings: a theoretical investigation into the application of a bistable Fabry\u2013Perot semiconductor laser under optical injection as an all-optical activation unit for multilayer perceptron optical neural networks. In this study, we’ve examined the device’s ability to provide reconfigurable sigmoid-like activation functions with adjustable thresholds and saturation points. These functions… Read More »ORCA-lab’s new paper<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":375,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":""},"categories":[6],"tags":[],"_links":{"self":[{"href":"https:\/\/orca-lab.etf.bg.ac.rs\/index.php?rest_route=\/wp\/v2\/posts\/374"}],"collection":[{"href":"https:\/\/orca-lab.etf.bg.ac.rs\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/orca-lab.etf.bg.ac.rs\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/orca-lab.etf.bg.ac.rs\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/orca-lab.etf.bg.ac.rs\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=374"}],"version-history":[{"count":2,"href":"https:\/\/orca-lab.etf.bg.ac.rs\/index.php?rest_route=\/wp\/v2\/posts\/374\/revisions"}],"predecessor-version":[{"id":377,"href":"https:\/\/orca-lab.etf.bg.ac.rs\/index.php?rest_route=\/wp\/v2\/posts\/374\/revisions\/377"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/orca-lab.etf.bg.ac.rs\/index.php?rest_route=\/wp\/v2\/media\/375"}],"wp:attachment":[{"href":"https:\/\/orca-lab.etf.bg.ac.rs\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=374"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/orca-lab.etf.bg.ac.rs\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=374"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/orca-lab.etf.bg.ac.rs\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=374"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}