{"id":313,"date":"2022-02-02T14:43:24","date_gmt":"2022-02-02T13:43:24","guid":{"rendered":"https:\/\/web.umons.ac.be\/isia\/?p=313"},"modified":"2023-06-26T21:50:12","modified_gmt":"2023-06-26T19:50:12","slug":"wp4-trail-ariac-kick-off-at-umons","status":"publish","type":"post","link":"https:\/\/web.umons.ac.be\/isia\/en\/wp4-trail-ariac-kick-off-at-umons\/","title":{"rendered":"WP4 TRAIL\/ARIAC kick-off at UMONS"},"content":{"rendered":"<p><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">The ARIAC project (Applications and Research for Trusted Artificial Intelligence) was designed by <a href=\"http:\/\/trail.ac\">TRAIL<\/a>. <\/span><span style=\"vertical-align: inherit;\">TRAIL brings together the five French-speaking universities and the four approved Walloon research centers (CRA). <\/span><span style=\"vertical-align: inherit;\">Its ambition is to pool research in artificial intelligence in the Wallonia-Brussels Federation.<\/span><\/span><\/p>\n<p><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">ARIAC project is articulated around 5 Work Packages:<\/span><\/span><\/p>\n<ul>\n<li><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">Human-AI Interaction,<\/span><\/span><\/li>\n<li><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">Trust mechanisms for AI,<\/span><\/span><\/li>\n<li><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">Model-AI integration,<\/span><\/span><\/li>\n<li><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">Optimized AI implementations,<\/span><\/span><\/li>\n<li><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">TRAIL Factory<\/span><\/span><\/li>\n<\/ul>\n<p><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">The event took place on Wednesday, February 2, 2020 in UMONS (Rue de Houdain 9, Mons 7000, Auditorium 23) and streamed online.<\/span><\/span><\/p>\n<p>Event webpage: https:\/\/web.umons.ac.be\/isia\/en\/event\/wp4-kickoff-meeting\/<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">WP4 TRAIL\/ARIAC kick-off program:<\/span><\/span><\/p>\n<p><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">*******************************<\/span><\/span><\/p>\n<p><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">1:00 p.m.: Thierry Dutoit (UMONS) <\/span><\/span><br \/>\n<span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">Introduction to WP4 and VIP slides: better community!<\/span><\/span><\/p>\n<p><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">1:15 p.m.: Sidi Mahmoudi (UMONS) <\/span><\/span><br \/>\n<span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">Edge AI: Implement algorithms on devices with low computing power<\/span><\/span><\/p>\n<p><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">1:45 p.m.: Antonion Garcia-Diaz (ULB) <\/span><\/span><br \/>\n<span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">This presentation focuses on Antonio&rsquo;s research into automatic neural architecture (NAS) research techniques, the results of this research at present, and his current and future contributions to TRAIL.<\/span><\/span><\/p>\n<p><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">2:00 p.m.: Sarah Klein (SIRRIS) <\/span><\/span><br \/>\n<span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">With an increasing install base of sensors collecting data with high temporal resolution, a huge amount of raw data need to be transferred to a backend system. <\/span><span style=\"vertical-align: inherit;\">In many industrial use cases, this is challenging but most of the time doable. <\/span><span style=\"vertical-align: inherit;\">As soon as devices (often resource-constrained) are in the field though, sending high-frequency data in real-time via a mobile connection becomes very challenging and expensive.<\/span><\/span><\/p>\n<p><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">One way to facilitate data transfer from the edge to a central backend is to compress the data before sending it. <\/span><span style=\"vertical-align: inherit;\">Recently, several algorithms have been proposed to handle compression of time series on constrained devices. <\/span><span style=\"vertical-align: inherit;\">In our presentation, we will give an overview of different classes of compression methods and their application in industrial use cases.<\/span><\/span><\/p>\n<p><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">2:15 p.m.: Nathan Hubens (UMONS) <\/span><\/span><br \/>\n<span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">Presentation of pruning and the FasterAI library: https:\/\/github.com\/nathanhubens\/fasterai<\/span><\/span><\/p>\n<p><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">2:35 p.m .:\u00a0 <\/span><\/span><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">Antoine Vanderschueren (UCLouvain) <\/span><\/span><br \/>\n<span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">We present a new, simple and effective method for forming &lsquo;sparse&rsquo; neural networks. <\/span><span style=\"vertical-align: inherit;\">Our method is based on a differentiation of the front and rear paths: the weights in the front path are a thresholded version of the weights maintained in the rear path. <\/span><span style=\"vertical-align: inherit;\">This decoupling allows micro-updates, produced by gradient descent, to add up; <\/span><span style=\"vertical-align: inherit;\">thus leading to the possible reactivation of weights that have been set to zero before during training. <\/span><span style=\"vertical-align: inherit;\">At the end of the training, the links with zero weights are &lsquo;pruned&rsquo;.<\/span><\/span><\/p>\n<p><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">3:00 p.m.: break<\/span><\/span><\/p>\n<p><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">3:20 p.m.: Lucile Dierckx (UCLouvain) <\/span><\/span><br \/>\n<span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">The topic proposed for a short presentation would present the main ideas of a paper that has just been accepted for a conference. <\/span><span style=\"vertical-align: inherit;\">This focuses on the combination of detection and classification of multiple bats in audio recordings. <\/span><\/span><br \/>\n<span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">The challenge is that the datasets available for this task are either for detection or uni-label classification, but not for their combination. <\/span><span style=\"vertical-align: inherit;\">Indeed, the labels of the available datasets indicate either only the positions of the calls in the recordings, or only the species that is heard in a file. <\/span><span style=\"vertical-align: inherit;\">In addition, it is rare to find datasets with labels to make multi-label classification of bat calls.<\/span><\/span><br \/>\n<span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">So we show how we manage to do both detection and multi-label classification by creating artificial labels based on those commonly available. <\/span><span style=\"vertical-align: inherit;\">We also show how we evaluate the performance of the model designed not only on the generated dataset, but also on the basis of the available hard-labels.<\/span><\/span><\/p>\n<p><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">3:30 p.m.: No\u00e9 Tits: (Flowchase) <\/span><\/span><br \/>\n<span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">Use of self-supervision techniques to obtain an intelligent representation of phonemes in a latent space. <\/span><span style=\"vertical-align: inherit;\">This would allow us to obtain metrics and distances to evaluate pronunciation and detect errors.<\/span><\/span><\/p>\n<p><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">4:00 p.m.: Maxime Zanella (UCLouvain\/UMONS) <\/span><\/span><br \/>\n<span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">Active Learning then focus on its usefulness in \u00ab\u00a0continuous life learning\u00a0\u00bb<\/span><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The fourth work package (WP4) of the ARIAC project was kicked off on 2\/2\/2022 in UMONS (Houdain site). At the beginning of the kick-off meeting, Prof. Thierry Dutoit introduced the fourth work package which focuses on optimized AI implementations. The event was moderated by Dr. Matie Mancas, and attended by 40 AI researchers.<\/p>\n","protected":false},"author":233,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12,28,22,34],"tags":[],"class_list":["post-313","post","type-post","status-publish","format-standard","hentry","category-conferences-and-symposiums","category-institution","category-partnerships","category-research"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>WP4 TRAIL\/ARIAC kick-off at UMONS - Service \/ FPMS - Information, Signal, et Intelligence Artificielle<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/web.umons.ac.be\/isia\/en\/wp4-trail-ariac-kick-off-at-umons\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"WP4 TRAIL\/ARIAC kick-off at UMONS - Service \/ FPMS - Information, Signal, et Intelligence Artificielle\" \/>\n<meta property=\"og:description\" content=\"The fourth work package (WP4) of the ARIAC project was kicked off on 2\/2\/2022 in UMONS (Houdain site). 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