{"id":7990,"date":"2026-05-13T14:12:39","date_gmt":"2026-05-13T12:12:39","guid":{"rendered":"https:\/\/resmiq.org\/?page_id=7990"},"modified":"2026-05-13T15:56:33","modified_gmt":"2026-05-13T13:56:33","slug":"bridging-the-gap-between-deep-learning-and-edge-hardware","status":"publish","type":"page","link":"https:\/\/resmiq.org\/en\/bridging-the-gap-between-deep-learning-and-edge-hardware\/","title":{"rendered":"Bridging the Gap Between Deep Learning and Edge Hardware"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"7990\" class=\"elementor elementor-7990\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f4c3a14 e-flex e-con-boxed e-con e-parent\" data-id=\"f4c3a14\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4c5aa3e elementor-widget elementor-widget-text-editor\" data-id=\"4c5aa3e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>For participants from outside Montreal (Universit\u00e9 Laval, Universit\u00e9 du Qu\u00e9bec en Outaouais, Universit\u00e9 du Qu\u00e9bec \u00e0 Trois-Rivi\u00e8res, Universit\u00e9 de Sherbrooke, and Universit\u00e9 du Qu\u00e9bec \u00e0 Chicoutimi) contact Otmane Ait Mohamed (<a class=\"moz-txt-link-abbreviated\" href=\"mailto:otmane.aitmohamed@concordia.ca\" data-outlook-id=\"e27d8df5-750b-4120-8021-1a301fc6d514\">otmane.aitmohamed@concordia.ca<\/a>) for remote access.<b><br \/><\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ea58383 elementor-widget elementor-widget-image\" data-id=\"ea58383\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"218\" height=\"218\" src=\"https:\/\/resmiq.org\/wp-content\/uploads\/2026\/05\/NiarS-medaillon.jpg\" class=\"attachment-large size-large wp-image-7992\" alt=\"\" srcset=\"https:\/\/resmiq.org\/wp-content\/uploads\/2026\/05\/NiarS-medaillon.jpg 218w, https:\/\/resmiq.org\/wp-content\/uploads\/2026\/05\/NiarS-medaillon-150x150.jpg 150w, https:\/\/resmiq.org\/wp-content\/uploads\/2026\/05\/NiarS-medaillon-12x12.jpg 12w, https:\/\/resmiq.org\/wp-content\/uploads\/2026\/05\/NiarS-medaillon-175x175.jpg 175w, https:\/\/resmiq.org\/wp-content\/uploads\/2026\/05\/NiarS-medaillon-165x165.jpg 165w\" sizes=\"(max-width: 218px) 100vw, 218px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1c4d034 elementor-widget elementor-widget-text-editor\" data-id=\"1c4d034\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Smail Niar<br \/><\/strong>INSA Hauts-de-France and CNRS, France<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5102748 elementor-widget elementor-widget-text-editor\" data-id=\"5102748\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Date<\/strong> May 19, 2026<br \/><strong>Hour :<\/strong> 11:00 AM \u2013 1:00 PM<br \/><strong>Place<\/strong> Concordia University, EV Building, Room EV2.184, 1515 Ste-Catherine Street West, Montreal<\/p><p><strong>Summary:\u00a0 <\/strong>Deep learning (DL) models are being deployed to solve various computer vision and natural language processing tasks at the edge. Integrating DL on edge devices enables more efficient and responsive solutions. <strong><em>Hardware-aware Neural Architecture Search (HW-NAS)<\/em><\/strong> has recently gained steam by automating the design of efficient DL models for a variety of various target hardware platforms. In this talk I will present state-of-the-art approaches for HW-NAS that are based on three components:<\/p><ol><li>Surrogate models to predict quickly architecture accuracy and hardware performances to speed up HW-NAS. The idea is to explore the prospect of Machine Learning for Machine Learning (ML4ML) by introducing techniques to estimate DL models performances on edge devices using neural architectural features and ML-based predictors.<\/li><li>Efficient multi-objective search algorithm that explores only promising hardware and software regions of the search space, and<\/li><li>New compression techniques that can be combined with HW-NAS to reduce the processing and memory complexities such as computational reuse and dynamic NAS.<\/li><\/ol><p><strong>Biographical note:\u00a0<\/strong><strong>Prof. Smail Niar<\/strong>, INSA Hauts-de-France\/Universit\u00e9 Polytechnique Hauts-de-France (UPHF) &amp; CNRS, received his PhD in computer Engineering from the University of Lille (France) in 1990. Since then, he has been professor at UPHF and INSA Hauts-de-France. He is a member of the computer science department at the \u201cLaboratory of Automation, Mechanical and Computer Engineering\u201d, a joint research unit between CNRS and UPHF\/INSA. His research interests are AI\/ML-based embedded systems, autonomous transportation systems, HPC, and edge computing.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Pour les participants de l&rsquo;ext\u00e9rieur de Montr\u00e9al (Universit\u00e9 Laval, Universit\u00e9 du Qu\u00e9bec en Outaouais, Universit\u00e9 du Qu\u00e9bec \u00e0 Trois-Rivi\u00e8res, Universit\u00e9 de Sherbrooke, et Universit\u00e9 du Qu\u00e9bec \u00e0 Chicoutimi) contactez Otmane Ait Mohamed (otmane.aitmohamed@concordia.ca) pour l&rsquo;acc\u00e8s \u00e0 distance. Smail NiarINSA Hauts-de-France and CNRS, France Date : 19 mai 2026Heure : 11h00 <a class=\"read-more\" href=\"https:\/\/resmiq.org\/en\/bridging-the-gap-between-deep-learning-and-edge-hardware\/\">Read More\u2026<\/a><\/p>","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"axe-et-theme":[],"sujet":[],"class_list":["post-7990","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/resmiq.org\/en\/wp-json\/wp\/v2\/pages\/7990","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/resmiq.org\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/resmiq.org\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/resmiq.org\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/resmiq.org\/en\/wp-json\/wp\/v2\/comments?post=7990"}],"version-history":[{"count":10,"href":"https:\/\/resmiq.org\/en\/wp-json\/wp\/v2\/pages\/7990\/revisions"}],"predecessor-version":[{"id":8012,"href":"https:\/\/resmiq.org\/en\/wp-json\/wp\/v2\/pages\/7990\/revisions\/8012"}],"wp:attachment":[{"href":"https:\/\/resmiq.org\/en\/wp-json\/wp\/v2\/media?parent=7990"}],"wp:term":[{"taxonomy":"axe-et-theme","embeddable":true,"href":"https:\/\/resmiq.org\/en\/wp-json\/wp\/v2\/axe-et-theme?post=7990"},{"taxonomy":"sujet","embeddable":true,"href":"https:\/\/resmiq.org\/en\/wp-json\/wp\/v2\/sujet?post=7990"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}