{"id":3905,"date":"2026-06-20T10:48:13","date_gmt":"2026-06-20T08:48:13","guid":{"rendered":"https:\/\/numpex.org\/aissai-gap-2026-explorer-la-convergence-entre-lintelligence-artificielle-et-le-calcul-haute-performance-au-service-de-la-science\/"},"modified":"2026-09-08T10:48:24","modified_gmt":"2026-09-08T08:48:24","slug":"aissai-gap-2026-explorer-la-convergence-entre-lintelligence-artificielle-et-le-calcul-haute-performance-au-service-de-la-science","status":"publish","type":"post","link":"https:\/\/numpex.org\/fr\/aissai-gap-2026-explorer-la-convergence-entre-lintelligence-artificielle-et-le-calcul-haute-performance-au-service-de-la-science\/","title":{"rendered":"AISSAI\/GAP 2026 : Explorer la convergence entre l&rsquo;intelligence artificielle et le calcul haute performance au service de la science"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row][vc_column width=\u00a0\u00bb1\/1&Prime;][vc_custom_heading uncode_shortcode_id=\u00a0\u00bb142377&Prime;]Du 17 au 19 juin 2026, Grenoble a accueilli la conf\u00e9rence AISSAI\/GAP 2026, qui a r\u00e9uni des chercheurs travaillant \u00e0 la crois\u00e9e de l&rsquo;intelligence artificielle, du calcul haute performance et des sciences physiques.[\/vc_custom_heading][\/vc_column][\/vc_row][vc_row][vc_column width=\u00a0\u00bb1\/1&Prime;][vc_column_text uncode_shortcode_id=\u00a0\u00bb695016&Prime;]<\/p>\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"842\" data-end=\"1289\">From 17 to 19 June 2026, the <strong data-start=\"871\" data-end=\"935\">AISSAI\/GAP 2026 \u2013 Grenoble AI for Physical Sciences workshop<\/strong> brought together an international community of researchers at the Maison de la Cr\u00e9ation et de l\u2019Innovation (MaCI), Universit\u00e9 Grenoble Alpes. The event was organised as part of the thematic trimester <strong data-start=\"1136\" data-end=\"1184\">\u201cHPC and AI convergence at the Exascale era\u201d<\/strong>, led by the CNRS AISSAI Center in connection with <strong data-start=\"1235\" data-end=\"1250\">PEPR NumPEx<\/strong>.<\/p>\n<p data-start=\"1291\" data-end=\"1752\">Following the success of its first edition in 2024, GAP 2026 focused on the rapidly developing interface between <strong data-start=\"1404\" data-end=\"1457\">artificial intelligence and the physical sciences<\/strong>. The workshop explored key research directions including <strong data-start=\"1515\" data-end=\"1631\">inverse problems, simulation-based inference, data-driven scientific discovery and foundation models for science<\/strong>, while highlighting advances in theory, algorithms and high-performance computing.<\/p>\n<p data-start=\"1754\" data-end=\"2186\">The three-day programme featured keynote talks from leading international experts and covered a broad range of scientific applications, including <strong data-start=\"1900\" data-end=\"1979\">climate and geosciences, astrophysics, neuroscience and engineering systems<\/strong>. Among the invited speakers were researchers from EPFL, Stanford University, ETH Zurich, the University of T\u00fcbingen, Inria, CNRS and several international universities.<\/p>\n<p data-start=\"2188\" data-end=\"2531\">A dedicated <strong data-start=\"2200\" data-end=\"2218\">poster session<\/strong> provided an opportunity for participants to present ongoing research and exchange ideas across disciplines. Particular attention was given to work exploring the <strong data-start=\"2380\" data-end=\"2432\">synergies between AI and HPC in the Exascale era<\/strong>, a central challenge for the future of scientific computing.<\/p>\n<p data-start=\"2533\" data-end=\"2984\">For NumPEx, GAP 2026 contributed to a broader effort to foster dialogue between the <strong data-start=\"2617\" data-end=\"2643\">HPC and AI communities<\/strong> and to explore how their convergence can transform scientific computing at Exascale. By bringing together experts from different fields, the workshop helped identify new opportunities for collaboration and highlighted the methodological and computational challenges that will shape the next generation of AI-enabled scientific applications.<\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column width=\u00a0\u00bb1\/1&Prime;][vc_single_image media=\u00a0\u00bb3899&Prime; media_width_percent=\u00a0\u00bb100&Prime; uncode_shortcode_id=\u00a0\u00bb531792&Prime; title=\u00a0\u00bbAtelier \u00ab AISSAI Gap 2026 \u00bb\u00a0\u00bb][vc_button border_width=\u00a0\u00bb0&Prime; link=\u00a0\u00bburl:https%3A%2F%2Faissai.cnrs.fr%2Fen%2Fevenement%2Faissai-gap-2026-grenoble-artificial-intelligence-workshop-for-physical-sciences%2F%3Futm_source%3Dchatgpt.com|\u00a0\u00bb uncode_shortcode_id=\u00a0\u00bb211144&Prime;]D\u00e9couvrez l&rsquo;atelier AISSAI\/Gap 2026[\/vc_button][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column width=\u00a0\u00bb1\/1&Prime;][vc_custom_heading uncode_shortcode_id=\u00a0\u00bb142377&Prime;]Du 17 au 19 juin 2026, Grenoble a accueilli la conf\u00e9rence AISSAI\/GAP 2026, qui a r\u00e9uni des chercheurs [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":3899,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"iawp_total_views":0,"footnotes":"","_members_access_role":[],"_members_access_error":""},"categories":[31],"tags":[],"class_list":["post-3905","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nouvelles"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - 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