{"id":7653,"date":"2018-06-06T10:21:12","date_gmt":"2018-06-06T08:21:12","guid":{"rendered":"https:\/\/golem.ai\/blog\/vieillissement-intelligence-artificielle\/"},"modified":"2022-04-22T14:14:44","modified_gmt":"2022-04-22T12:14:44","slug":"vieillissement-intelligence-artificielle","status":"publish","type":"post","link":"https:\/\/miralia.ai\/fr\/blog\/ai-and-society\/vieillissement-intelligence-artificielle","title":{"rendered":"Comment emp\u00eacher les AI de vieillir ?"},"content":{"rendered":"<h3 dir=\"ltr\">Il n\u2019y a pas que les cerveaux humains qui ralentissent avec l\u2019\u00e2ge ! Les algorithmes aussi peuvent ne plus interpr\u00e9ter correctement les donn\u00e9es dont on les nourrit.<\/h3>\n<p>Derri\u00e8res les applications du machine learning les plus triviales (screening des spams par votre boite mail) ou les plus sophistiqu\u00e9es (pr\u00e9vision des pics de pollutions en fonction de donn\u00e9es m\u00e9t\u00e9orologiques et contextuelles) se cachent des algorithmes apprenants qui doivent composer en permanence avec de nouveaux types d\u2019inputs. Pourquoi&nbsp;? Tout simplement parce que les datas \u00e9voluent, tout comme les concepts avec lesquels nous essayons de les structurer.<\/p>\n<p><iframe src=\"https:\/\/www.youtube.com\/embed\/vcR-if1lKZM\" width=\"854\" height=\"480\" frameborder=\"0\" scrolling=\"no\"><\/iframe><\/p>\n<p>L\u2019automatisation de la d\u00e9tection des fraudes bancaires constitue un excellent use case&nbsp;: le traitement d\u2019un volume massif de transactions, les \u00e9volutions des patterns de fraude et une temporalit\u00e9 irr\u00e9guli\u00e8re rendent n\u00e9cessaire l\u2019impl\u00e9mentation de solutions IA afin de scruter les registres bancaires d\u2019un regard alerte. De mani\u00e8re g\u00e9n\u00e9rale, les algorithmes doivent \u00e0 la fois s&rsquo;adapter sans d\u00e9lai aux changements de concepts, et \u00e9liminer les faux positifs et le bruit. Deux objectifs contradictoires auxquels s\u2019ajoutent la n\u00e9cessit\u00e9 d\u2019appr\u00e9hender correctement les ph\u00e9nom\u00e8nes cycliques.<\/p>\n<p>Pour parvenir \u00e0 cette quadrature du cercle, il faut accepter l\u2019id\u00e9e qu\u2019aucune solution unique ne permet d&rsquo;adresser ces probl\u00e8mes. Mais le data scientist a plus d\u2019un algo dans son sac&nbsp;!<\/p>\n<p><a href=\"https:\/\/golem.ai\/fr\/ressources\/\"><img fetchpriority=\"high\" decoding=\"async\" class=\"wp-image-12234 aligncenter\" src=\"https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2022\/03\/26173514\/Contenus.png\" sizes=\"(max-width: 480px) 100vw, 480px\" srcset=\"https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2022\/03\/26173514\/Contenus-300x169.png 300w, https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2022\/03\/26173514\/Contenus-768x432.png 768w, https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2022\/03\/26173514\/Contenus-18x10.png 18w, https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2022\/03\/26173514\/Contenus.png 960w\" alt=\"\" width=\"480\" height=\"270\"><\/a><\/p>\n<p>Les algorithmes d\u2019apprentissage adaptatifs reposent sur trois \u00e9l\u00e9ments&nbsp;: une m\u00e9moire ajustable, une fonction de d\u00e9tection des d\u00e9rives et une boucle d\u2019apprentissage. La m\u00e9moire ajustable permet de pond\u00e9rer chronologiquement les donn\u00e9es&nbsp;tandis que la d\u00e9tection des d\u00e9rives contr\u00f4le leur qualit\u00e9. La boucle d\u2019apprentissage met enfin \u00e0 jour instantan\u00e9ment le mod\u00e8le d\u00e9cisionnel&nbsp;(\u00ab&nbsp;dois-je ranger ce mail en spam&nbsp;?&nbsp;\u00bb \u00ab&nbsp;Cette transaction est-elle frauduleuse&nbsp;?&nbsp;\u00bb). Comme les capacit\u00e9s de calculs et les \u00e9volutions qualitatives interdisent de tenir compte de l\u2019ensemble des donn\u00e9es enregistr\u00e9es, l\u2019enjeu r\u00e9side en l\u2019aptitude de l\u2019IA \u00e0 choisir la bonne fen\u00eatre de data : nous avons donc besoin d&rsquo;algorithmes capables de s&rsquo;adapter d&rsquo;eux-m\u00eames.<\/p>\n<p>Les algorithmes adaptatifs sont des arbres de d\u00e9cisions incr\u00e9mentales : ils partent from scratch et mettent au point des cat\u00e9gorisations sit\u00f4t qu\u2019ils estiment disposer d\u2019assez de donn\u00e9es pour le faire. Afin consolider les algorithmes, le data scientist use du bagging : cette technique consiste ici \u00e0 nourrir les m\u00eames arbres apprenants de jeux de donn\u00e9es diff\u00e9rents. En confrontant les r\u00e9sultats, il devient possible de distinguer entre arbres d\u2019apprentissage performants (adapt\u00e9s aux donn\u00e9es actuelles) et s\u00e9niles.<\/p>\n<p>Nos remerciements \u00e0 Gr\u00e9goire Martinon pour avoir su rendre sa pr\u00e9sentation limpide malgr\u00e9 la technicit\u00e9 du sujet, et pour avoir pris de r\u00e9pondre aux nombreuses questions de l\u2019assistance autour du buffet.<\/p>\n<p>Retrouvez-nous pour notre prochain AI&amp;Society sur notre page <a href=\"https:\/\/www.meetup.com\/fr-FR\/AI-and-society\/\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #df7b58;\">Meetup<\/span>.<\/a><\/p>\n<!-- AddThis Advanced Settings generic via filter on the_content --><!-- AddThis Share Buttons generic via filter on the_content -->","protected":false},"excerpt":{"rendered":"<p>Les algorithmes de machine learning changent avec le temps. Gr\u00e9goire Martinon, Data Scientist chez Quantmetry, vulgarise les probl\u00e9matiques li\u00e9es au vieillissement des algorithmes et \u00e0 l\u2019\u00e9volution des mod\u00e8les.<!-- AddThis Advanced Settings generic via filter on get_the_excerpt --><!-- AddThis Share Buttons generic via filter on get_the_excerpt --><\/p>\n","protected":false},"author":1,"featured_media":7655,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[68,33],"tags":[],"class_list":["post-7653","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-ai-and-society"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>IA : entre vieillissement des algorithmes et \u00e9volution des mod\u00e8les<\/title>\n<meta name=\"description\" content=\"Les algorithmes de machine learning changent avec le temps. Gr\u00e9goire Martinon, Data Scientist chez Quantmetry, vulgarise les probl\u00e9matiques li\u00e9es au vieillissement des algorithmes et \u00e0 l\u2019\u00e9volution des mod\u00e8les.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/miralia.ai\/fr\/blog\/ai-and-society\/vieillissement-intelligence-artificielle\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"IA : entre vieillissement des algorithmes et \u00e9volution des mod\u00e8les\" \/>\n<meta property=\"og:description\" content=\"Les algorithmes de machine learning changent avec le temps. Gr\u00e9goire Martinon, Data Scientist chez Quantmetry, vulgarise les probl\u00e9matiques li\u00e9es au vieillissement des algorithmes et \u00e0 l\u2019\u00e9volution des mod\u00e8les.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/miralia.ai\/fr\/blog\/ai-and-society\/vieillissement-intelligence-artificielle\/\" \/>\n<meta property=\"og:site_name\" content=\"Miralia.ai\" \/>\n<meta property=\"article:published_time\" content=\"2018-06-06T08:21:12+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-04-22T12:14:44+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2021\/09\/16143353\/6914a72f087c7c1b18f47145f7db4cc3cf170143-1.jpeg\" \/>\n\t<meta property=\"og:image:width\" content=\"1\" \/>\n\t<meta property=\"og:image:height\" content=\"1\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Miralia\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@miralia_ai\" \/>\n<meta name=\"twitter:site\" content=\"@miralia_ai\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/miralia.ai\\\/blog\\\/ai-and-society\\\/vieillissement-intelligence-artificielle#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/miralia.ai\\\/blog\\\/ai-and-society\\\/vieillissement-intelligence-artificielle\"},\"author\":{\"name\":\"Miralia\",\"@id\":\"https:\\\/\\\/miralia.ai\\\/fr\\\/#\\\/schema\\\/person\\\/fea78d2bd9fe528e64a212f60e7bc474\"},\"headline\":\"Comment emp\u00eacher les AI de vieillir ?\",\"datePublished\":\"2018-06-06T08:21:12+00:00\",\"dateModified\":\"2022-04-22T12:14:44+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/miralia.ai\\\/blog\\\/ai-and-society\\\/vieillissement-intelligence-artificielle\"},\"wordCount\":515,\"publisher\":{\"@id\":\"https:\\\/\\\/miralia.ai\\\/fr\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/miralia.ai\\\/blog\\\/ai-and-society\\\/vieillissement-intelligence-artificielle#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\\\/wp-content\\\/uploads\\\/2021\\\/09\\\/16143353\\\/6914a72f087c7c1b18f47145f7db4cc3cf170143-1.jpeg\",\"articleSection\":[\"Blog\",\"Ev\u00e9nements\"],\"inLanguage\":\"fr-FR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/miralia.ai\\\/blog\\\/ai-and-society\\\/vieillissement-intelligence-artificielle\",\"url\":\"https:\\\/\\\/miralia.ai\\\/blog\\\/ai-and-society\\\/vieillissement-intelligence-artificielle\",\"name\":\"IA : entre vieillissement des algorithmes et \u00e9volution des mod\u00e8les\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/miralia.ai\\\/fr\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/miralia.ai\\\/blog\\\/ai-and-society\\\/vieillissement-intelligence-artificielle#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/miralia.ai\\\/blog\\\/ai-and-society\\\/vieillissement-intelligence-artificielle#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\\\/wp-content\\\/uploads\\\/2021\\\/09\\\/16143353\\\/6914a72f087c7c1b18f47145f7db4cc3cf170143-1.jpeg\",\"datePublished\":\"2018-06-06T08:21:12+00:00\",\"dateModified\":\"2022-04-22T12:14:44+00:00\",\"description\":\"Les algorithmes de machine learning changent avec le temps. Gr\u00e9goire Martinon, Data Scientist chez Quantmetry, vulgarise les probl\u00e9matiques li\u00e9es au vieillissement des algorithmes et \u00e0 l\u2019\u00e9volution des mod\u00e8les.\",\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/miralia.ai\\\/blog\\\/ai-and-society\\\/vieillissement-intelligence-artificielle\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\\\/\\\/miralia.ai\\\/blog\\\/ai-and-society\\\/vieillissement-intelligence-artificielle#primaryimage\",\"url\":\"https:\\\/\\\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\\\/wp-content\\\/uploads\\\/2021\\\/09\\\/16143353\\\/6914a72f087c7c1b18f47145f7db4cc3cf170143-1.jpeg\",\"contentUrl\":\"https:\\\/\\\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\\\/wp-content\\\/uploads\\\/2021\\\/09\\\/16143353\\\/6914a72f087c7c1b18f47145f7db4cc3cf170143-1.jpeg\"},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/miralia.ai\\\/fr\\\/#website\",\"url\":\"https:\\\/\\\/miralia.ai\\\/fr\\\/\",\"name\":\"Miralia.ai\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/miralia.ai\\\/fr\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/miralia.ai\\\/fr\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/miralia.ai\\\/fr\\\/#organization\",\"name\":\"Miralia\",\"url\":\"https:\\\/\\\/miralia.ai\\\/fr\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\\\/\\\/miralia.ai\\\/fr\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\\\/wp-content\\\/uploads\\\/2026\\\/01\\\/07142128\\\/Logo-Miralia.png\",\"contentUrl\":\"https:\\\/\\\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\\\/wp-content\\\/uploads\\\/2026\\\/01\\\/07142128\\\/Logo-Miralia.png\",\"width\":1061,\"height\":211,\"caption\":\"Miralia\"},\"image\":{\"@id\":\"https:\\\/\\\/miralia.ai\\\/fr\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/x.com\\\/miralia_ai\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/miralia\\\/\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/miralia.ai\\\/fr\\\/#\\\/schema\\\/person\\\/fea78d2bd9fe528e64a212f60e7bc474\",\"name\":\"Miralia\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\\\/\\\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\\\/wp-content\\\/uploads\\\/2025\\\/11\\\/03120340\\\/M-noir.png\",\"url\":\"https:\\\/\\\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\\\/wp-content\\\/uploads\\\/2025\\\/11\\\/03120340\\\/M-noir.png\",\"contentUrl\":\"https:\\\/\\\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\\\/wp-content\\\/uploads\\\/2025\\\/11\\\/03120340\\\/M-noir.png\",\"caption\":\"Miralia\"},\"sameAs\":[\"http:\\\/\\\/c68f3497-cc94-4d4c-ae55-e83783631a1f.pub.instances.scw.cloud\"],\"url\":\"https:\\\/\\\/miralia.ai\\\/fr\\\/auteur\\\/vitrine\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"IA : entre vieillissement des algorithmes et \u00e9volution des mod\u00e8les","description":"Les algorithmes de machine learning changent avec le temps. Gr\u00e9goire Martinon, Data Scientist chez Quantmetry, vulgarise les probl\u00e9matiques li\u00e9es au vieillissement des algorithmes et \u00e0 l\u2019\u00e9volution des mod\u00e8les.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/miralia.ai\/fr\/blog\/ai-and-society\/vieillissement-intelligence-artificielle\/","og_locale":"fr_FR","og_type":"article","og_title":"IA : entre vieillissement des algorithmes et \u00e9volution des mod\u00e8les","og_description":"Les algorithmes de machine learning changent avec le temps. Gr\u00e9goire Martinon, Data Scientist chez Quantmetry, vulgarise les probl\u00e9matiques li\u00e9es au vieillissement des algorithmes et \u00e0 l\u2019\u00e9volution des mod\u00e8les.","og_url":"https:\/\/miralia.ai\/fr\/blog\/ai-and-society\/vieillissement-intelligence-artificielle\/","og_site_name":"Miralia.ai","article_published_time":"2018-06-06T08:21:12+00:00","article_modified_time":"2022-04-22T12:14:44+00:00","og_image":[{"url":"https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2021\/09\/16143353\/6914a72f087c7c1b18f47145f7db4cc3cf170143-1.jpeg","width":1,"height":1,"type":"image\/jpeg"}],"author":"Miralia","twitter_card":"summary_large_image","twitter_creator":"@miralia_ai","twitter_site":"@miralia_ai","schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/miralia.ai\/blog\/ai-and-society\/vieillissement-intelligence-artificielle#article","isPartOf":{"@id":"https:\/\/miralia.ai\/blog\/ai-and-society\/vieillissement-intelligence-artificielle"},"author":{"name":"Miralia","@id":"https:\/\/miralia.ai\/fr\/#\/schema\/person\/fea78d2bd9fe528e64a212f60e7bc474"},"headline":"Comment emp\u00eacher les AI de vieillir ?","datePublished":"2018-06-06T08:21:12+00:00","dateModified":"2022-04-22T12:14:44+00:00","mainEntityOfPage":{"@id":"https:\/\/miralia.ai\/blog\/ai-and-society\/vieillissement-intelligence-artificielle"},"wordCount":515,"publisher":{"@id":"https:\/\/miralia.ai\/fr\/#organization"},"image":{"@id":"https:\/\/miralia.ai\/blog\/ai-and-society\/vieillissement-intelligence-artificielle#primaryimage"},"thumbnailUrl":"https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2021\/09\/16143353\/6914a72f087c7c1b18f47145f7db4cc3cf170143-1.jpeg","articleSection":["Blog","Ev\u00e9nements"],"inLanguage":"fr-FR"},{"@type":"WebPage","@id":"https:\/\/miralia.ai\/blog\/ai-and-society\/vieillissement-intelligence-artificielle","url":"https:\/\/miralia.ai\/blog\/ai-and-society\/vieillissement-intelligence-artificielle","name":"IA : entre vieillissement des algorithmes et \u00e9volution des mod\u00e8les","isPartOf":{"@id":"https:\/\/miralia.ai\/fr\/#website"},"primaryImageOfPage":{"@id":"https:\/\/miralia.ai\/blog\/ai-and-society\/vieillissement-intelligence-artificielle#primaryimage"},"image":{"@id":"https:\/\/miralia.ai\/blog\/ai-and-society\/vieillissement-intelligence-artificielle#primaryimage"},"thumbnailUrl":"https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2021\/09\/16143353\/6914a72f087c7c1b18f47145f7db4cc3cf170143-1.jpeg","datePublished":"2018-06-06T08:21:12+00:00","dateModified":"2022-04-22T12:14:44+00:00","description":"Les algorithmes de machine learning changent avec le temps. Gr\u00e9goire Martinon, Data Scientist chez Quantmetry, vulgarise les probl\u00e9matiques li\u00e9es au vieillissement des algorithmes et \u00e0 l\u2019\u00e9volution des mod\u00e8les.","inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/miralia.ai\/blog\/ai-and-society\/vieillissement-intelligence-artificielle"]}]},{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/miralia.ai\/blog\/ai-and-society\/vieillissement-intelligence-artificielle#primaryimage","url":"https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2021\/09\/16143353\/6914a72f087c7c1b18f47145f7db4cc3cf170143-1.jpeg","contentUrl":"https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2021\/09\/16143353\/6914a72f087c7c1b18f47145f7db4cc3cf170143-1.jpeg"},{"@type":"WebSite","@id":"https:\/\/miralia.ai\/fr\/#website","url":"https:\/\/miralia.ai\/fr\/","name":"Miralia.ai","description":"","publisher":{"@id":"https:\/\/miralia.ai\/fr\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/miralia.ai\/fr\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"fr-FR"},{"@type":"Organization","@id":"https:\/\/miralia.ai\/fr\/#organization","name":"Miralia","url":"https:\/\/miralia.ai\/fr\/","logo":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/miralia.ai\/fr\/#\/schema\/logo\/image\/","url":"https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2026\/01\/07142128\/Logo-Miralia.png","contentUrl":"https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2026\/01\/07142128\/Logo-Miralia.png","width":1061,"height":211,"caption":"Miralia"},"image":{"@id":"https:\/\/miralia.ai\/fr\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/x.com\/miralia_ai","https:\/\/www.linkedin.com\/company\/miralia\/"]},{"@type":"Person","@id":"https:\/\/miralia.ai\/fr\/#\/schema\/person\/fea78d2bd9fe528e64a212f60e7bc474","name":"Miralia","image":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2025\/11\/03120340\/M-noir.png","url":"https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2025\/11\/03120340\/M-noir.png","contentUrl":"https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2025\/11\/03120340\/M-noir.png","caption":"Miralia"},"sameAs":["http:\/\/c68f3497-cc94-4d4c-ae55-e83783631a1f.pub.instances.scw.cloud"],"url":"https:\/\/miralia.ai\/fr\/auteur\/vitrine"}]}},"_links":{"self":[{"href":"https:\/\/miralia.ai\/fr\/wp-json\/wp\/v2\/posts\/7653","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/miralia.ai\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/miralia.ai\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/miralia.ai\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/miralia.ai\/fr\/wp-json\/wp\/v2\/comments?post=7653"}],"version-history":[{"count":4,"href":"https:\/\/miralia.ai\/fr\/wp-json\/wp\/v2\/posts\/7653\/revisions"}],"predecessor-version":[{"id":13506,"href":"https:\/\/miralia.ai\/fr\/wp-json\/wp\/v2\/posts\/7653\/revisions\/13506"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/miralia.ai\/fr\/wp-json\/wp\/v2\/media\/7655"}],"wp:attachment":[{"href":"https:\/\/miralia.ai\/fr\/wp-json\/wp\/v2\/media?parent=7653"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/miralia.ai\/fr\/wp-json\/wp\/v2\/categories?post=7653"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/miralia.ai\/fr\/wp-json\/wp\/v2\/tags?post=7653"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}