{"id":23081,"date":"2024-03-12T10:55:26","date_gmt":"2024-03-12T09:55:26","guid":{"rendered":"https:\/\/ggba.swiss\/epfl-unveils-a-modular-ai-model-for-diverse-data-analysis\/"},"modified":"2024-03-12T11:00:32","modified_gmt":"2024-03-12T10:00:32","slug":"lepfl-devoile-un-modele-dia-modulaire-pour-lanalyse-de-donnees-diverses","status":"publish","type":"post","link":"https:\/\/ggba.swiss\/fr\/lepfl-devoile-un-modele-dia-modulaire-pour-lanalyse-de-donnees-diverses\/","title":{"rendered":"L&rsquo;EPFL d\u00e9voile un mod\u00e8le d&rsquo;IA modulaire pour l&rsquo;analyse de donn\u00e9es diverses"},"content":{"rendered":"\n<p>Contrairement aux grands mod\u00e8les linguistiques (LLM) tels que ChatGPT d&rsquo;OpenAI, qui sont construits sur de vastes bases de donn\u00e9es textuelles, le nouveau mod\u00e8le de l&rsquo;EPFL, baptis\u00e9 MultiModN, est con\u00e7u pour la sph\u00e8re des mod\u00e8les multimodaux (MM) de la prochaine g\u00e9n\u00e9ration. Ces MM excellent en apprenant \u00e0 partir d&rsquo;une vari\u00e9t\u00e9 de types de donn\u00e9es, mais les mod\u00e8les \u00e0 plus petite \u00e9chelle sont confront\u00e9s \u00e0 des obstacles, notamment pour traiter les informations manquantes non al\u00e9atoires sans absorber des mod\u00e8les biais\u00e9s. MultiModN se pr\u00e9sente comme une solution in\u00e9dite \u00e0 ce d\u00e9fi.<\/p>\n\n\n\n<p>D\u00e9velopp\u00e9 sous la direction des professeurs Mary-Anne Hartley et Tanja K\u00e4ser, MultiModN est structur\u00e9 autour de nombreux modules plus petits et autosuffisants. Cette architecture permet de s\u00e9lectionner et de s\u00e9quencer les modules en fonction des donn\u00e9es disponibles, ce qui aboutit \u00e0 un mod\u00e8le hautement adaptable et interpr\u00e9table. Test\u00e9 dans le cadre de dix t\u00e2ches r\u00e9elles, notamment l&rsquo;aide au diagnostic m\u00e9dical et la pr\u00e9diction des r\u00e9sultats scolaires, MultiModN a d\u00e9montr\u00e9 sa robustesse et sa capacit\u00e9 d&rsquo;interpr\u00e9tation, en particulier dans des sc\u00e9narios entach\u00e9s de donn\u00e9es manquantes non al\u00e9atoires (MNAR en anglais pour \u00ab&nbsp;Missing Not At Random&nbsp;\u00bb).<\/p>\n\n\n\n<p>L&rsquo;application inaugurale du mod\u00e8le se concentre sur l&rsquo;am\u00e9lioration de la prise de d\u00e9cision clinique dans des environnements o\u00f9 les ressources sont limit\u00e9es. La flexibilit\u00e9 inh\u00e9rente \u00e0 MultiModN et son m\u00e9canisme d&rsquo;apprentissage r\u00e9sistant aux biais en font un outil id\u00e9al pour les environnements de soins de sant\u00e9 o\u00f9 les lacunes en mati\u00e8re de donn\u00e9es sont fr\u00e9quentes en raison de facteurs \u00e9conomiques ou de redondance. En exploitant les donn\u00e9es cliniques du monde r\u00e9el sans h\u00e9riter de leurs biais, MultiModN vise \u00e0 aider le personnel m\u00e9dical en ajustant ses pr\u00e9dictions sur la base des donn\u00e9es disponibles.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Adapter les progr\u00e8s de l&rsquo;apprentissage automatique aux besoins de la soci\u00e9t\u00e9<\/h4>\n\n\n\n<p>Au-del\u00e0 de la publication, des efforts sont en cours pour traduire MultiModN du laboratoire \u00e0 l&rsquo;utilisation pratique, avec des collaborations entre l&rsquo;EPFL, le <a href=\"https:\/\/www.chuv.ch\/fr\/chuv-home\/\">CHUV<\/a> et l&rsquo;<a href=\"https:\/\/www.insel.ch\/fr\/\">h\u00f4pital universitaire de Berne<\/a>, se concentrant sur le diagnostic de la pneumonie et de la tuberculose dans les r\u00e9gions \u00e0 faibles ressources. Une initiative compl\u00e8te de collecte de donn\u00e9es est \u00e9galement en cours, visant \u00e0 former MultiModN avec des donn\u00e9es multimodales r\u00e9elles refl\u00e9tant les conditions dans les r\u00e9gions \u00e0 faibles ressources.<\/p>\n\n\n\n<p>Ce d\u00e9veloppement repr\u00e9sente l&rsquo;engagement continu de l&rsquo;<a href=\"https:\/\/www.epfl.ch\/fr\/\">EPFL<\/a> \u00e0 adapter les progr\u00e8s de l&rsquo;apprentissage automatique aux besoins de la soci\u00e9t\u00e9. Aux c\u00f4t\u00e9s de <a href=\"https:\/\/actu.epfl.ch\/news\/le-grand-modele-de-langage-de-l-epfl-pour-le-savoi\/\">Meditron<\/a>, un autre LLM open-source tr\u00e8s performant pour l&rsquo;aide \u00e0 la d\u00e9cision clinique, MultiModN incarne la vision de l&rsquo;EPFL pour une IA responsable qui favorise l&rsquo;innovation technologique dans divers secteurs soci\u00e9taux, comme le souligne l&rsquo;\u00e9thique du nouveau <a href=\"https:\/\/www.epfl.ch\/research\/domains\/ai\/\">EPFL AI Center<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Des chercheurs de l&rsquo;EPFL ont d\u00e9voil\u00e9 un mod\u00e8le d&rsquo;apprentissage automatique in\u00e9dit qui pourrait ouvrir une nouvelle \u00e8re dans la polyvalence et l&rsquo;application de l&rsquo;intelligence artificielle.<\/p>\n","protected":false},"author":6,"featured_media":23076,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"mc4wp_mailchimp_campaign":[],"footnotes":""},"categories":[845],"tags":[1179,1183,1180,1152,1162,1153,1157],"class_list":["post-23081","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech","tag-artificial-intelligence-fr-2","tag-big-data-en-fr","tag-digital-health-fr-2","tag-digital-transformation-fr","tag-education-en-fr","tag-ict-fr","tag-software-fr-2"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>EPFL d\u00e9voile une IA modulaire pour l&#039;analyse de donn\u00e9es diverses<\/title>\n<meta name=\"description\" content=\"L&#039;EPFL a d\u00e9voil\u00e9 mod\u00e8le d&#039;apprentissage automatique qui pourrait 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