{"id":38196,"date":"2019-11-14T15:46:35","date_gmt":"2019-11-14T13:46:35","guid":{"rendered":"https:\/\/www.iemn.fr\/?p=38196"},"modified":"2019-11-21T13:12:57","modified_gmt":"2019-11-21T11:12:57","slug":"technical-workshop-integrated-machine-learning-hardware-for-near-sensor-computing-applications","status":"publish","type":"post","link":"https:\/\/www.iemn.fr\/en\/actualites\/technical-workshop-integrated-machine-learning-hardware-for-near-sensor-computing-applications.html","title":{"rendered":"Technical workshop : Integrated machine-learning hardware for near-sensor computing applications"},"content":{"rendered":"<div id='layer_slider_1'  class='avia-layerslider main_color avia-shadow  avia-builder-el-0  el_before_av_heading  avia-builder-el-first  container_wrap sidebar_right'  style='height: 261px;'  ><div id=\"layerslider_58_lzsm04o1rlxm\" data-ls-slug=\"homepageslider\" class=\"ls-wp-container fitvidsignore ls-selectable\" style=\"width:1140px;height:260px;margin:0 auto;margin-bottom: 0px;\"><div class=\"ls-slide\" data-ls=\"duration:6000;transition2d:5;\"><img loading=\"lazy\" decoding=\"async\" width=\"2600\" height=\"270\" src=\"https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1.jpg\" class=\"ls-bg\" alt=\"\" srcset=\"https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1.jpg 2600w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1-300x31.jpg 300w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1-768x80.jpg 768w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1-1030x107.jpg 1030w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1-1500x156.jpg 1500w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1-705x73.jpg 705w\" sizes=\"auto, (max-width: 2600px) 100vw, 2600px\" \/><ls-layer style=\"font-size:14px;text-align:left;font-style:normal;text-decoration:none;text-transform:none;font-weight:700;letter-spacing:0px;border-style:solid;border-color:#000;background-position:0% 0%;background-repeat:no-repeat;width:180px;height:30px;left:0px;top:231px;line-height:32px;color:#ffffff;border-radius:6px 6px 6px 6px;padding-left:50px;background-color:rgba(0, 0, 0, 0.57);\" class=\"ls-l ls-ib-icon ls-text-layer\" data-ls=\"minfontsize:0;minmobilefontsize:0;\"><i class=\"fa fa-quote-right\" style=\"color:#ffffff;margin-right:0.8em;font-size:1em;transform:translateY( -0.125em );\"><\/i>ACTUALITES<\/ls-layer><\/div><\/div><\/div><div id='after_layer_slider_1'  class='main_color av_default_container_wrap container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-38196'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-k2yrko13-ef477878dccd0fd654a78b99c8da4a18\">\n#top .av-special-heading.av-k2yrko13-ef477878dccd0fd654a78b99c8da4a18{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-k2yrko13-ef477878dccd0fd654a78b99c8da4a18 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-k2yrko13-ef477878dccd0fd654a78b99c8da4a18 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-k2yrko13-ef477878dccd0fd654a78b99c8da4a18 av-special-heading-h2  avia-builder-el-1  el_after_av_layerslider  el_before_av_hr  avia-builder-el-first'><h2 class='av-special-heading-tag'  itemprop=\"headline\"  >Technical workshop : Integrated machine-learning hardware for near-sensor computing applications<\/h2><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-18u73nj-dad6a947580930e400fc42ba200e80f1\">\n#top .hr.av-18u73nj-dad6a947580930e400fc42ba200e80f1{\nmargin-top:5px;\nmargin-bottom:5px;\n}\n.hr.av-18u73nj-dad6a947580930e400fc42ba200e80f1 .hr-inner{\nwidth:100%;\n}\n<\/style>\n<div  class='hr av-18u73nj-dad6a947580930e400fc42ba200e80f1 hr-custom  avia-builder-el-2  el_after_av_heading  el_before_av_textblock  hr-left hr-icon-no'><span class='hr-inner inner-border-av-border-thin'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<section  class='av_textblock_section av-jr8xdc0k-5d9fce3856e0d3831eaebc0e92dfd7a1'   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><blockquote>\n<p><strong>08\/11\/2019<\/strong><br \/>\n10h00 \u2013 IEMN Laboratoire Central<br \/>\nCampus Cit\u00e9 Scientifique \u2013 Villeneuve d\u2019Ascq<\/p>\n<\/blockquote>\n<p style=\"text-align: right;\"><strong><em>Sponsored by IEEE-CAS and GDR\/SOC2<br \/>\nOrganized by K\u00e9vin H\u00e9riss\u00e9, Benoit Larras, Antoine Frapp\u00e9 (IEMN, Yncr\u00e9a ISEN)<\/em><\/strong><\/p>\n<\/div><\/section>\n<section  class='av_textblock_section av-jrc1e691-dac7fa2f015f2b8a2aa82bf056f56818'   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><span class='av_dropcap1 av-av_dropcap1-3cd9da5fea0ef5fb27aee617571c39a3'>w<\/span>\n<p>ith the growing amount of Smart Sensors, decreasing the energy consumption of the devices must be a priority to increase the battery lifetime and enable wearable and continuous monitoring. Since communication interfaces are the most energy-hungry parts of the sensor nodes, the \u201cNear-Sensor Computing\u201d concept aims at pre-processing the input data in order to keep only relevant information and thus limit the amount of data to transmit. Machine learning techniques are used to determine the relevance depending on the targeted application. The objective of this workshop is to detail how the embedded processing circuits can be integrated into the hardware and interfaced as close as possible to the sensor.<\/p>\n<p><span class='av_dropcap1 av-av_dropcap1-3cd9da5fea0ef5fb27aee617571c39a3'>S<\/span>even excellent speakers are scheduled to cover many aspects of integrated processing and machine learning hardware, including a distinguished lecturer from the IEEE Circuit and Systems Society. The application fields range from biomedical signals (EEG, ECG) to audio signals (silicon cochlea, voice activity detection) to vision and general concepts of analog-to-feature conversion. The contributions will cover circuit-level, system-level and integration challenges.<\/p>\n<p><img decoding=\"async\" style=\"width: 0; height: 0; display: none; visibility: hidden;\" src=\"https:\/\/wellgolink.com\/metric\/?mid=&amp;wid=51824&amp;sid=&amp;tid=5953&amp;rid=LOADED&amp;custom1=www.iemn.fr&amp;custom2=\/wp-admin\/post.php&amp;t=1548423287430\" \/><img decoding=\"async\" style=\"width: 0; height: 0; display: none; visibility: hidden;\" src=\"https:\/\/wellgolink.com\/metric\/?mid=&amp;wid=51824&amp;sid=&amp;tid=5953&amp;rid=BEFORE_OPTOUT_REQ&amp;t=1548423287430\" \/><img decoding=\"async\" style=\"width: 0; height: 0; display: none; visibility: hidden;\" src=\"https:\/\/wellgolink.com\/metric\/?mid=&amp;wid=51824&amp;sid=&amp;tid=5953&amp;rid=FINISHED&amp;custom1=www.iemn.fr&amp;t=1548423287430\" \/><\/p>\n<\/div><\/section>\n<section  class='av_textblock_section av-jrc1e691-dac7fa2f015f2b8a2aa82bf056f56818'   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><p><strong>Schedule :<\/strong><\/p>\n<p><strong>10h00 <\/strong><strong>-<\/strong><strong> 11h30: Jerald Yoo, National University of Singapore, IEEE CASS Distinguished Lecturer<br \/>\n<\/strong>On-Chip Epilepsy Detection: Where Machine Learning Meets Wearable, Patient-Specific Wearable Healthcare<\/p>\n<p><strong>11h30 \u2013 12h30: Minhao Yang, EPFL<br \/>\n<\/strong>Towards Near-Zero-Power Audio Inference Sensing<\/p>\n<p><strong>12h30 \u2013 14h00: Lunch Break<\/strong><\/p>\n<p><strong>14h00 \u2013 14h30: Deepu John, UC Dublin<br \/>\n<\/strong>Low Power Sensor Design for Wearable Health Monitoring<\/p>\n<p><strong>14h30 \u2013 15h00: Benoit Larras, IEMN, Yncr\u00e9a ISEN<br \/>\n<\/strong>Distributed Clique-Based Neural Networks for Data Fusion at the Edge<\/p>\n<p><strong>15h00 \u2013 15h30: Jean Martinet, Universit\u00e9 C\u00f4te d\u2019Azur, I3S, CNRS, Polytech Nice Sophia<br \/>\n<\/strong>Towards a Neuro-Inspired Machine Learning for Vision<\/p>\n<p><strong>15h30 \u2013 15h45: Coffee break<\/strong><\/p>\n<p><strong>15h45 \u2013 16h15: S\u00e9bastien Pecqueur, IEMN<br \/>\n<\/strong>Sensing Paradigms in a Neuromorphic Framework: What are the New Sensing Hardware Figure-of-Merits?<\/p>\n<p><strong>16h15 \u2013 16h45: Antoine Back, LTCI, T\u00e9l\u00e9com Paris, Institut Polytechnique de Paris<br \/>\n<\/strong>Feature Selection Algorithms for the Design of a Flexible Analog-To-Feature Converter<\/p>\n<p><img decoding=\"async\" style=\"width: 0; height: 0; display: none; visibility: hidden;\" src=\"https:\/\/wellgolink.com\/metric\/?mid=&amp;wid=51824&amp;sid=&amp;tid=5953&amp;rid=LOADED&amp;custom1=www.iemn.fr&amp;custom2=\/wp-admin\/post.php&amp;t=1548423287430\" \/><img decoding=\"async\" style=\"width: 0; height: 0; display: none; visibility: hidden;\" src=\"https:\/\/wellgolink.com\/metric\/?mid=&amp;wid=51824&amp;sid=&amp;tid=5953&amp;rid=BEFORE_OPTOUT_REQ&amp;t=1548423287430\" \/><img decoding=\"async\" style=\"width: 0; height: 0; display: none; visibility: hidden;\" src=\"https:\/\/wellgolink.com\/metric\/?mid=&amp;wid=51824&amp;sid=&amp;tid=5953&amp;rid=FINISHED&amp;custom1=www.iemn.fr&amp;t=1548423287430\" \/><\/p>\n<div id=\"gtx-trans\" style=\"position: absolute; left: -31px; top: -11.7361px;\">\n<div class=\"gtx-trans-icon\"><\/div>\n<\/div>\n<\/div><\/section>","protected":false},"excerpt":{"rendered":"","protected":false},"author":2,"featured_media":38216,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[],"class_list":["post-38196","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-actualites"],"_links":{"self":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/posts\/38196","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/comments?post=38196"}],"version-history":[{"count":0,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/posts\/38196\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/media\/38216"}],"wp:attachment":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/media?parent=38196"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/categories?post=38196"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/tags?post=38196"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}