{"id":192703,"date":"2023-03-09T11:00:00","date_gmt":"2023-03-09T11:00:00","guid":{"rendered":"https:\/\/datascientest.com\/?p=192703"},"modified":"2023-03-08T17:17:06","modified_gmt":"2023-03-08T17:17:06","slug":"une-methode-vieille-de-200-ans-decuple-les-capacites-de-lia","status":"publish","type":"post","link":"https:\/\/datascientest.com\/une-methode-vieille-de-200-ans-decuple-les-capacites-de-lia","title":{"rendered":"Une m\u00e9thode vieille de 200 ans d\u00e9cuple les capacit\u00e9s de l\u2019IA !"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"192703\" class=\"elementor elementor-192703\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-56b6796 e-flex e-con-boxed e-con\" data-id=\"56b6796\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-486d0e5 elementor-widget elementor-widget-heading\" data-id=\"486d0e5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Les r\u00e9seaux neuronaux dans l\u2019intelligence artificielle sont si performants aujourd\u2019hui qu\u2019on se demande jusqu\u2019o\u00f9 ils peuvent aller. Pourtant, une partie de leur fonctionnement reste un myst\u00e8re pour les scientifiques. Mais une r\u00e9cente \u00e9tude de l\u2019universit\u00e9 Rice de Houston permettrait d\u2019expliquer cette bo\u00eete noir en utilisant des math\u00e9matiques d\u2019il y a 200 ans.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-07c391f e-flex e-con-boxed e-con\" data-id=\"07c391f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4ccb99f elementor-widget elementor-widget-heading\" data-id=\"4ccb99f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">De quelle m\u00e9thode math\u00e9matique s\u2019agit-il ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d05484c elementor-widget elementor-widget-text-editor\" data-id=\"d05484c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><b>Les r\u00e9seaux neuronaux artificiels<\/b><span style=\"font-weight: 400;\"> sont compos\u00e9s de neurones qui collaborent pour r\u00e9soudre des probl\u00e8mes, formant ainsi <\/span><a href=\"https:\/\/datascientest.com\/deep-learning-definition\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">la base du deep learning<\/span><\/a><span style=\"font-weight: 400;\">. Pendant longtemps, la fa\u00e7on dont ils parvenaient \u00e0 des conclusions est rest\u00e9e <\/span><b>un myst\u00e8re<\/b><span style=\"font-weight: 400;\">. Mais, afin d\u2019examiner le r\u00e9seau neuronal dans son ensemble, les chercheurs ont utilis\u00e9 une m\u00e9thode math\u00e9matique appel\u00e9e <\/span><b>analyse de Fourier<\/b><span style=\"font-weight: 400;\">. Cette m\u00e9thode, souvent utilis\u00e9e en physique, sert \u00e0 <\/span><b>identifier des mod\u00e8les r\u00e9guliers<\/b><span style=\"font-weight: 400;\"> dans les donn\u00e9es, l&rsquo;espace et le temps. En explorant cette part d\u2019ombre, cela pourrait am\u00e9liorer <\/span><a href=\"https:\/\/datascientest.com\/fonctionnement-des-reseaux-neurones\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">la pr\u00e9cision et la vitesse d&rsquo;apprentissage des r\u00e9seaux neuronaux<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7c87330 elementor-widget elementor-widget-image\" data-id=\"7c87330\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"623\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/circuits-5076887-1024x798.png\" class=\"attachment-large size-large wp-image-192704\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/circuits-5076887-1024x798.png 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/circuits-5076887-300x234.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/circuits-5076887-768x599.png 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/circuits-5076887-1536x1198.png 1536w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/circuits-5076887.png 1920w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-879588a elementor-widget elementor-widget-shortcode\" data-id=\"879588a\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-shortcode\">\t\t<div data-elementor-type=\"archive\" data-elementor-id=\"182277\" class=\"elementor elementor-182277\" data-elementor-post-type=\"elementor_library\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-53e85fd5 elementor-hidden-mobile e-flex e-con-boxed e-con\" data-id=\"53e85fd5\" data-element_type=\"container\" id=\"pub\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-16c355f3 e-flex e-con-boxed e-con\" data-id=\"16c355f3\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-4f8bee36 e-con-full e-flex e-con\" data-id=\"4f8bee36\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-71ebb8d1 elementor-widget elementor-widget-heading\" data-id=\"71ebb8d1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">LANCEZ VOTRE CARRI\u00c8RE\u00a0: <br\/>\nDEVENEZ <span class=\"bleuelectric\">DATA\u00a0SCIENTIST<\/span>\u00a0!<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ae8ce36 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"ae8ce36\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Une <strong>reconversion<\/strong> dans le <strong>big data<\/strong> vous int\u00e9resse, mais vous ne savez pas <strong>par o\u00f9 commencer<\/strong> ? D\u00e9couvrez notre <span style=\"color: #4826dd;\"><strong>formation de Data Scientist<\/strong><\/span>.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-66f20d27 elementor-align-left button-principal elementor-widget elementor-widget-button\" data-id=\"66f20d27\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"\/formation-data-scientist\" target=\"_blank\" id=\"advanced-ads-button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Je d\u00e9couvre la formation<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6a9a16b e-con-full e-flex e-con\" data-id=\"6a9a16b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;,&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6f3813cd elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"6f3813cd\" data-element_type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" width=\"60\" height=\"60\" viewBox=\"0 0 60 60\" fill=\"none\"><path d=\"M60 0H0V60H60V30V0Z\" fill=\"url(#pattern0)\"><\/path><defs><pattern id=\"pattern0\" patternContentUnits=\"objectBoundingBox\" width=\"1\" height=\"1\"><use xlink:href=\"#image0_3877_22304\" transform=\"scale(0.00119332 0.00117647)\"><\/use><\/pattern><image id=\"image0_3877_22304\" width=\"838\" 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class=\"elementor-element elementor-element-7c0abfdd elementor-hidden-desktop elementor-hidden-tablet e-flex e-con-boxed e-con\" data-id=\"7c0abfdd\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-79d6cb3f e-flex e-con-boxed e-con\" data-id=\"79d6cb3f\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-5a5b7f8c e-con-full e-flex e-con\" data-id=\"5a5b7f8c\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-220187cc e-flex e-con-boxed e-con\" data-id=\"220187cc\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-12e677e1 elementor-widget elementor-widget-heading\" data-id=\"12e677e1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">LANCEZ VOTRE CARRI\u00c8RE\u00a0: <br\/>\nDEVENEZ <span class=\"bleuelectric\">DATA\u00a0SCIENTIST<\/span>\u00a0!<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1728c04e elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"1728c04e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Une <strong>reconversion<\/strong> dans le <strong>big data<\/strong> vous int\u00e9resse, mais vous ne savez pas <strong>par o\u00f9 commencer\u00a0<\/strong>?<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1ff2d66d elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"1ff2d66d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\tD\u00e9couvrez notre <span style=\"color: #4826dd;\"><strong>formation de\u00a0Data Scientist<\/strong><\/span>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-640da34e elementor-align-left button-principal elementor-widget elementor-widget-button\" data-id=\"640da34e\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"\/formation-data-scientist\" target=\"_blank\" id=\"advanced-ads-button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Je d\u00e9couvre la formation<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-622d4f25 elementor-absolute elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"622d4f25\" data-element_type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;absolute&quot;}\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" width=\"60\" height=\"60\" viewBox=\"0 0 60 60\" fill=\"none\"><path d=\"M60 0H0V60H60V30V0Z\" fill=\"url(#pattern0)\"><\/path><defs><pattern 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class=\"elementor-element elementor-element-c123b32 e-flex e-con-boxed e-con\" data-id=\"c123b32\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9d205b6 elementor-widget elementor-widget-heading\" data-id=\"9d205b6\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Qu\u2019en ont d\u00e9duit les chercheurs ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-56e6d61 elementor-widget elementor-widget-text-editor\" data-id=\"56e6d61\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Dans leur \u00e9tude, les chercheurs ont exp\u00e9riment\u00e9 la m\u00e9thode de Fourier sur un r\u00e9seau neuronal entra\u00een\u00e9 \u00e0 <\/span><b>analyser les turbulences complexes<\/b><span style=\"font-weight: 400;\"> observ\u00e9es dans l&rsquo;air ou dans l&rsquo;eau et \u00e0 pr\u00e9dire l&rsquo;\u00e9volution de ces flux dans le temps. En proc\u00e9dant <\/span><b>couche par couche<\/b><span style=\"font-weight: 400;\">, ils ont d\u00e9mystifi\u00e9 le mod\u00e8le pour <\/span><b>comprendre son fonctionnement interne<\/b><span style=\"font-weight: 400;\">. Ils ont ensuite <\/span><b>\u00e9tabli des liens<\/b><span style=\"font-weight: 400;\"> avec les math\u00e9matiques et la physique de syst\u00e8mes physiques r\u00e9els. En r\u00e9ussissant cette exp\u00e9rience, ils ont constat\u00e9 que l&rsquo;analyse de Fourier peut \u00eatre <\/span><b>appliqu\u00e9e \u00e0 d&rsquo;autres r\u00e9seaux neuronaux<\/b><span style=\"font-weight: 400;\"> destin\u00e9s \u00e0 l&rsquo;analyse d\u2019autres syst\u00e8mes complexes.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ea647c4 elementor-widget elementor-widget-image\" data-id=\"ea647c4\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"450\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/pexels-fauxels-3184358-1024x576.jpg\" class=\"attachment-large size-large wp-image-192706\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/pexels-fauxels-3184358-1024x576.jpg 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/pexels-fauxels-3184358-300x169.jpg 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/pexels-fauxels-3184358-768x432.jpg 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/pexels-fauxels-3184358-1536x864.jpg 1536w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/pexels-fauxels-3184358.jpg 1920w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7bc9100 elementor-widget elementor-widget-text-editor\" data-id=\"7bc9100\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">La compr\u00e9hension des syst\u00e8mes neuronaux pourrait <\/span><b>ouvrir les possibilit\u00e9s<\/b><span style=\"font-weight: 400;\"> d\u2019une g\u00e9n\u00e9ration d&rsquo;intelligence artificielle encore plus performante. Ce \u00e0 quoi travaille actuellement <\/span><a href=\"https:\/\/datascientest.com\/kosmos-1-loutil-de-microsoft-qui-a-reponse-a-tout\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Microsoft, qui d\u00e9veloppe un nouveau mod\u00e8le de langage, Kosmos-1<\/span><\/a><span style=\"font-weight: 400;\">. C\u2019est pourquoi, <\/span><b>si cet article vous a plu<\/b><span style=\"font-weight: 400;\"> et si vous envisagez <\/span><b>une carri\u00e8re dans la Data Science<\/b><span style=\"font-weight: 400;\">, n\u2019h\u00e9sitez pas \u00e0 d\u00e9couvrir <\/span><a href=\"https:\/\/datascientest.com\/blog-data-ia-actualites\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">nos articles<\/span><\/a><span style=\"font-weight: 400;\"> ou <\/span><a href=\"https:\/\/datascientest.com\/formations-data\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">nos offres de formations<\/span><\/a><span style=\"font-weight: 400;\"> sur DataScientest.<\/span><\/p><p><i><span style=\"font-weight: 400;\">Source : spectrum.ieee.org<\/span><\/i><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-29a451b e-flex e-con-boxed e-con\" data-id=\"29a451b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f5163f4 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"f5163f4\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">D\u00e9couvrir nos offres de formations<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Les r\u00e9seaux neuronaux dans l\u2019intelligence artificielle sont si performants aujourd\u2019hui qu\u2019on se demande jusqu\u2019o\u00f9 ils peuvent aller. Pourtant, une partie de leur fonctionnement reste un myst\u00e8re pour les scientifiques. Mais une r\u00e9cente \u00e9tude de l\u2019universit\u00e9 Rice de Houston permettrait d\u2019expliquer cette bo\u00eete noir en utilisant des math\u00e9matiques d\u2019il y a 200 ans. De quelle m\u00e9thode [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":192705,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2431],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Une m\u00e9thode vieille de 200 ans d\u00e9cuple les capacit\u00e9s de l\u2019IA !<\/title>\n<meta name=\"description\" content=\"une r\u00e9cente \u00e9tude de l\u2019universit\u00e9 Rice de Houston permettrait de d\u00e9cupler le potentiel de l&#039;IA en utilisant des math\u00e9matiques d\u2019il y a 200 ans\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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