{"id":1835,"date":"2026-10-15T10:12:35","date_gmt":"2026-10-15T08:12:35","guid":{"rendered":"https:\/\/aifactory-france.eu\/?p=1835"},"modified":"2026-10-15T14:36:07","modified_gmt":"2026-10-15T12:36:07","slug":"1835","status":"publish","type":"post","link":"https:\/\/aifactory-france.eu\/fr\/1835\/","title":{"rendered":"AI4Science \u00e0 SCAI \u2013 4\u00e8me s\u00e9minaire"},"content":{"rendered":"<p>[et_pb_section fb_built=\u00a0\u00bb1&Prime; _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb use_background_color_gradient=\u00a0\u00bbon\u00a0\u00bb background_color_gradient_stops=\u00a0\u00bbrgba(0,115,216,0.37) 0%|rgba(29,125,207,0.34) 50%|rgba(0,106,193,0.43) 100%\u00a0\u00bb background_color_gradient_overlays_image=\u00a0\u00bbon\u00a0\u00bb background_image=\u00a0\u00bbhttps:\/\/aifactory-france.eu\/wp-content\/uploads\/2025\/05\/abstract-science-fiction-futuristic-background-with-blue-neon-lights.jpg\u00a0\u00bb background_enable_video_mp4=\u00a0\u00bboff\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb][et_pb_row _builder_version=\u00a0\u00bb4.27.9&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb custom_margin=\u00a0\u00bb120px||120px||true|false\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb][et_pb_column type=\u00a0\u00bb4_4&Prime; _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; text_font=\u00a0\u00bb|600|||||||\u00a0\u00bb text_text_color=\u00a0\u00bb#FFFFFF\u00a0\u00bb text_font_size=\u00a0\u00bb18px\u00a0\u00bb text_line_height=\u00a0\u00bb2em\u00a0\u00bb header_font=\u00a0\u00bbPoppins|600|||||||\u00a0\u00bb header_text_align=\u00a0\u00bbcenter\u00a0\u00bb header_text_color=\u00a0\u00bb#FFFFFF\u00a0\u00bb header_font_size=\u00a0\u00bb70px\u00a0\u00bb header_line_height=\u00a0\u00bb1.3em\u00a0\u00bb header_2_font=\u00a0\u00bbPoppins|600|||||||\u00a0\u00bb header_2_text_align=\u00a0\u00bbcenter\u00a0\u00bb header_2_text_color=\u00a0\u00bb#FFFFFF\u00a0\u00bb header_2_font_size=\u00a0\u00bb38px\u00a0\u00bb header_2_line_height=\u00a0\u00bb1.3em\u00a0\u00bb header_font_size_tablet=\u00a0\u00bb30px\u00a0\u00bb header_font_size_phone=\u00a0\u00bb24px\u00a0\u00bb header_font_size_last_edited=\u00a0\u00bbon|phone\u00a0\u00bb header_text_shadow_style=\u00a0\u00bbpreset3&Prime; header_2_text_shadow_style=\u00a0\u00bbpreset3&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb]<\/p>\n<h1>&nbsp; Learning Physical Dynamics: From Neural Operators to World Models<\/h1>\n<h1><span style=\"font-size: xx-large;\">by Armand Kassa\u00ef Koupa\u00ef<\/span><\/h1>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=\u00a0\u00bb1&Prime; _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb background_color=\u00a0\u00bb#f9f9f9&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb][et_pb_row column_structure=\u00a0\u00bb1_5,3_5,1_5&Prime; _builder_version=\u00a0\u00bb4.27.4&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb][et_pb_column type=\u00a0\u00bb1_5&Prime; _builder_version=\u00a0\u00bb4.27.4&Prime; custom_padding=\u00a0\u00bb|||\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb custom_padding__hover=\u00a0\u00bb|||\u00a0\u00bb][\/et_pb_column][et_pb_column type=\u00a0\u00bb3_5&Prime; _builder_version=\u00a0\u00bb4.27.4&Prime; custom_padding=\u00a0\u00bb|||\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb custom_padding__hover=\u00a0\u00bb|||\u00a0\u00bb][et_pb_divider color=\u00a0\u00bb#E02B20&Prime; divider_weight=\u00a0\u00bb8px\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb width=\u00a0\u00bb80px\u00a0\u00bb module_alignment=\u00a0\u00bbleft\u00a0\u00bb custom_margin=\u00a0\u00bb||0px||false|false\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb][\/et_pb_divider][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; text_font=\u00a0\u00bb||||||||\u00a0\u00bb text_font_size=\u00a0\u00bb16px\u00a0\u00bb text_line_height=\u00a0\u00bb2em\u00a0\u00bb header_font=\u00a0\u00bbPoppins|600|||||||\u00a0\u00bb header_font_size=\u00a0\u00bb40px\u00a0\u00bb header_line_height=\u00a0\u00bb1.3em\u00a0\u00bb header_2_font=\u00a0\u00bbPoppins|600|||||||\u00a0\u00bb header_2_text_color=\u00a0\u00bb#E02B20&Prime; header_2_font_size=\u00a0\u00bb32px\u00a0\u00bb header_2_line_height=\u00a0\u00bb1.6em\u00a0\u00bb text_font_size_tablet=\u00a0\u00bb16px\u00a0\u00bb text_font_size_phone=\u00a0\u00bb14px\u00a0\u00bb text_font_size_last_edited=\u00a0\u00bbon|phone\u00a0\u00bb locked=\u00a0\u00bboff\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb]<\/p>\n<p style=\"font-weight: 400;\">Fort du succ\u00e8s de son \u00e9v\u00e9nement inaugural, SCAI est fier d\u2019annoncer son quatri\u00e8me s\u00e9minaire.<\/p>\n<p style=\"font-weight: 400;\">Le th\u00e8me de cette quatri\u00e8me session est &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;\u00abLearning Physical Dynamics: From Neural Operators to World Models\u00bb et sera pr\u00e9sent\u00e9 par Armand Kassa\u00ef Koupa\u00ef.<\/p>\n<p style=\"font-weight: 400;\">Abstract<\/p>\n<p style=\"font-weight: 400;\">La simulation de syst\u00e8mes physiques repose depuis longtemps sur des solveurs num\u00e9riques d\u2019\u00e9quations aux d\u00e9riv\u00e9es partielles, qui sont certes pr\u00e9cis mais co\u00fbteux, lents \u00e0 s\u2019adapter et difficiles \u00e0 adapter aux r\u00e9solutions exig\u00e9es par les applications modernes. Au cours des derni\u00e8res ann\u00e9es, les r\u00e9seaux neuronaux se sont impos\u00e9s comme une alternative cr\u00e9dible : entra\u00een\u00e9s sur des trajectoires simul\u00e9es ou observ\u00e9es, ils apprennent \u00e0 faire \u00e9voluer l\u2019\u00e9tat d\u2019un syst\u00e8me dans le temps \u00e0 un co\u00fbt nettement inf\u00e9rieur. Cette pr\u00e9sentation constitue une introduction aux substituts neuronaux pour les dynamiques spatio-temporelles r\u00e9gies par des EDP. Je commencerai par (i) exposer les difficult\u00e9s rencontr\u00e9es par les architectures neuronales standard face aux donn\u00e9es physiques, et montrerai comment celles-ci ont motiv\u00e9 la conception des op\u00e9rateurs neuronaux. \u00c9tant donn\u00e9 que l\u2019\u00e9ventail des comportements dynamiques auxquels un substitut peut \u00eatre confront\u00e9 est vaste, je pr\u00e9senterai ensuite (ii) des m\u00e9thodes adaptatives, qui conditionnent le mod\u00e8le \u00e0 la dynamique consid\u00e9r\u00e9e et permettent d\u2019obtenir des r\u00e9sultats<\/p>\n<p style=\"font-weight: 400;\">Je m\u2019int\u00e9resserai ensuite \u00e0 la vague r\u00e9cente de mod\u00e8les pr\u00e9-entra\u00een\u00e9s sur de nombreux syst\u00e8mes physiques, souvent appel\u00e9s \u00ab mod\u00e8les de base \u00bb, et (iii) je soutiendrai que le vocabulaire des \u00ab mod\u00e8les du monde \u00bb les d\u00e9crit mieux : ils effectuent une seule t\u00e2che, \u00e0 savoir pr\u00e9dire comment un environnement \u00e9volue en fonction de ses conditions et de ses contr\u00f4les, et leur force r\u00e9side dans la g\u00e9n\u00e9ralisation d\u2019un environnement \u00e0 l\u2019autre plut\u00f4t que d\u2019une t\u00e2che \u00e0 l\u2019autre. Je conclurai par les questions pratiques qui d\u00e9terminent jusqu\u2019o\u00f9 cette approche peut aller : le comportement \u00e0 grande \u00e9chelle, ainsi que la disponibilit\u00e9 et la conception de grands ensembles de donn\u00e9es physiques.<\/p>\n<p style=\"font-weight: 400;\">\n<ul>\n<li><strong><a href=\"https:\/\/scai.sorbonne-universite.fr\/events\/ai4science-scai-seminar-4-learning-physical-dynamics-from-neural-operators-to-world-models\">Informations<\/a><\/strong><\/li>\n<\/ul>\n<p style=\"font-weight: 400;\">\n<ul>\n<li><strong><a href=\"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSdCsmtll8O4XzApJ9jejKlfYFuNJWT9UUOZ0M8OJ4dqYTJ0FQ\/viewform?pli=1\">Inscription obligatoire<\/a><\/strong><\/li>\n<\/ul>\n<p style=\"font-weight: 400;\">\n<ul>\n<li><strong><span style=\"color: #0c71c3;\"><span style=\"caret-color: #0c71c3;\">C<\/span><\/span><a href=\"https:\/\/visio.numerique.gouv.fr\/dst-utys-juy\">onf\u00e9rence en ligne<\/a><\/strong><\/li>\n<\/ul>\n<p style=\"font-weight: 400;\">\n<ul>\n<li><strong><a href=\"https:\/\/scai.sorbonne-universite.fr\/events?when=all\">Calendrier des \u00e9v\u00e9nements \u00e0 venir<\/a><\/strong><\/li>\n<\/ul>\n<p style=\"text-align: left;\">\n<p><span style=\"font-size: large;\"><\/span><\/p>\n<p><span><\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=\u00a0\u00bb1_5&Prime; 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