{"id":9706,"date":"2024-02-02T20:21:45","date_gmt":"2024-02-02T20:21:45","guid":{"rendered":"https:\/\/dailyai.com\/?p=9706"},"modified":"2024-02-07T14:54:58","modified_gmt":"2024-02-07T14:54:58","slug":"new-york-university-researchers-build-ai-that-sees-through-a-childs-eyes","status":"publish","type":"post","link":"https:\/\/dailyai.com\/fr\/2024\/02\/new-york-university-researchers-build-ai-that-sees-through-a-childs-eyes\/","title":{"rendered":"Des chercheurs de l'universit\u00e9 de New York cr\u00e9ent une IA qui voit \u00e0 travers les yeux d'un enfant"},"content":{"rendered":"<p><b>Des chercheurs de l'universit\u00e9 de New York se sont inspir\u00e9s des processus d'apprentissage des enfants pour former un syst\u00e8me d'intelligence artificielle.\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">La m\u00e9thode, d\u00e9taill\u00e9e dans le <\/span><a href=\"https:\/\/www.science.org\/doi\/10.1126\/science.adi1374\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">revue Science<\/span><\/a><span style=\"font-weight: 400;\">L'IA peut ainsi apprendre de son environnement sans d\u00e9pendre fortement de donn\u00e9es \u00e9tiquet\u00e9es, ce qui est un \u00e9l\u00e9ment cl\u00e9 de la conception de l'\u00e9tude. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Il refl\u00e8te la fa\u00e7on dont les enfants apprennent en absorbant de grandes quantit\u00e9s d'informations de leur environnement, en donnant progressivement un sens au monde qui les entoure.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">L'\u00e9quipe a cr\u00e9\u00e9 un ensemble de donn\u00e9es \u00e0 partir de 60 heures d'enregistrements vid\u00e9o \u00e0 la premi\u00e8re personne provenant d'une cam\u00e9ra mont\u00e9e sur la t\u00eate et port\u00e9e par des enfants \u00e2g\u00e9s de six mois \u00e0 deux ans, afin de reproduire le point de vue d'un enfant dans leur mod\u00e8le d'IA.\u00a0<\/span><\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">1\/ Aujourd'hui dans Science, nous formons un r\u00e9seau neuronal \u00e0 partir de z\u00e9ro \u00e0 travers les yeux et les oreilles d'un enfant. Le mod\u00e8le apprend \u00e0 associer des mots \u00e0 des r\u00e9f\u00e9rents visuels, ce qui montre que les outils d'IA d'aujourd'hui permettent d'apprendre des langues \u00e0 partir du point de vue d'un seul enfant. <a href=\"https:\/\/t.co\/hPZiiQt6Vv\">https:\/\/t.co\/hPZiiQt6Vv<\/a> <a href=\"https:\/\/t.co\/wa8jfn9b5Z\">pic.twitter.com\/wa8jfn9b5Z<\/a><\/p>\n<p>- Wai Keen Vong (@wkvong) <a href=\"https:\/\/twitter.com\/wkvong\/status\/1753132293491708027?ref_src=twsrc%5Etfw\">1er f\u00e9vrier 2024<\/a><\/p><\/blockquote>\n<p><script src=\"https:\/\/platform.twitter.com\/widgets.js\" async=\"\" charset=\"utf-8\"><\/script><\/p>\n<p><span style=\"font-weight: 400;\">Les chercheurs ont ensuite form\u00e9 un mod\u00e8le d'IA par apprentissage auto-supervis\u00e9 (SSL) \u00e0 l'aide de l'ensemble de donn\u00e9es vid\u00e9o pour voir si l'IA pouvait saisir le concept d'actions et de changements en analysant les informations temporelles ou li\u00e9es au temps dans les vid\u00e9os, comme le font les enfants. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Les approches SSL permettent aux mod\u00e8les d'IA d'apprendre des mod\u00e8les et des structures dans les donn\u00e9es sans \u00e9tiquettes explicites.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Emri Orhan, auteur de l'\u00e9tude, <\/span><a href=\"https:\/\/sites.google.com\/view\/eminorhan\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">\u00e9crit dans son blog de recherche<\/span><\/a><span style=\"font-weight: 400;\">Il a d\u00e9j\u00e0 plaid\u00e9 en faveur d'une plus grande attention port\u00e9e \u00e0 la SSL dans la recherche sur l'IA, qu'il juge essentielle pour comprendre les processus d'apprentissage complexes.\u00a0<\/span><\/p>\n<p>Orhan \u00e9crit : \"On dit souvent que les enfants apprennent le sens des mots de mani\u00e8re tr\u00e8s efficace. Par exemple, au cours de leur deuxi\u00e8me ann\u00e9e, les enfants sont cens\u00e9s apprendre quelques mots par jour en moyenne. Cela sugg\u00e8re qu'ils sont probablement capables d'apprendre la plupart de leurs mots \u00e0 partir d'une poign\u00e9e d'expositions (peut-\u00eatre souvent \u00e0 partir d'une seule exposition), un ph\u00e9nom\u00e8ne \u00e9galement connu sous le nom de \"cartographie rapide\".<\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">4\/ Pour tester cela, quoi de mieux que d'entra\u00eener un r\u00e9seau neuronal, non pas sur d'\u00e9normes quantit\u00e9s de donn\u00e9es provenant du web, mais uniquement sur les donn\u00e9es que re\u00e7oit un seul enfant ? Qu'apprendrait-il alors, le cas \u00e9ch\u00e9ant ? <a href=\"https:\/\/t.co\/bQ9aVbXUlB\">pic.twitter.com\/bQ9aVbXUlB<\/a><\/p>\n<p>- Wai Keen Vong (@wkvong) <a href=\"https:\/\/twitter.com\/wkvong\/status\/1753132300802445542?ref_src=twsrc%5Etfw\">1er f\u00e9vrier 2024<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<p><span style=\"font-weight: 400;\">L'\u00e9tude visait \u00e9galement \u00e0 d\u00e9terminer si l'IA a besoin de biais ou de \"raccourcis\" int\u00e9gr\u00e9s pour apprendre efficacement ou si elle peut d\u00e9velopper une compr\u00e9hension du monde gr\u00e2ce \u00e0 des algorithmes d'apprentissage g\u00e9n\u00e9raux, comme le fait un enfant.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Les r\u00e9sultats sont intrigants. Bien que la vid\u00e9o ne couvre qu'environ 1% des heures d'\u00e9veil de l'enfant, le syst\u00e8me d'IA a pu apprendre de nombreux mots et concepts, d\u00e9montrant ainsi l'efficacit\u00e9 de l'apprentissage \u00e0 partir de donn\u00e9es limit\u00e9es mais cibl\u00e9es.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Les r\u00e9sultats sont les suivants<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Reconnaissance de l'action performance<\/b><span style=\"font-weight: 400;\">: Les mod\u00e8les d'IA form\u00e9s sur l'ensemble de donn\u00e9es SAYCam ont \u00e9t\u00e9 tr\u00e8s efficaces pour reconna\u00eetre les actions dans les vid\u00e9os. Lorsqu'ils ont \u00e9t\u00e9 test\u00e9s sur des t\u00e2ches de reconnaissance d'actions fines telles que Kinetics-700 et Something-Something-V2 (SSV2), les mod\u00e8les ont affich\u00e9 des performances impressionnantes, m\u00eame avec un petit nombre d'exemples \u00e9tiquet\u00e9s pour l'entra\u00eenement.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Comparaison avec l'ensemble de donn\u00e9es Kinetics-700<\/b><span style=\"font-weight: 400;\">: Les mod\u00e8les form\u00e9s par la SAYCam ont \u00e9t\u00e9 compar\u00e9s \u00e0 des mod\u00e8les form\u00e9s sur Kinetics-700, un ensemble de donn\u00e9es diversifi\u00e9es de courts clips YouTube. De mani\u00e8re remarquable, les mod\u00e8les de la SAYCam ont obtenu des r\u00e9sultats comp\u00e9titifs, ce qui sugg\u00e8re que les donn\u00e9es vid\u00e9o ax\u00e9es sur l'enfant et r\u00e9alistes du point de vue du d\u00e9veloppement ont fourni un environnement d'apprentissage riche pour l'IA, similaire ou m\u00eame meilleur que le contenu vari\u00e9 trouv\u00e9 sur YouTube.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Comp\u00e9tence en mati\u00e8re d'interpolation vid\u00e9o<\/b><span style=\"font-weight: 400;\">: Un r\u00e9sultat int\u00e9ressant a \u00e9t\u00e9 la capacit\u00e9 des mod\u00e8les \u00e0 effectuer une interpolation vid\u00e9o, c'est-\u00e0-dire \u00e0 pr\u00e9dire les segments manquants dans une s\u00e9quence vid\u00e9o. Cela d\u00e9montre une compr\u00e9hension de la dynamique temporelle et de la continuit\u00e9 dans les sc\u00e8nes visuelles, refl\u00e9tant la fa\u00e7on dont les humains per\u00e7oivent et pr\u00e9disent les actions.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Repr\u00e9sentations robustes d'objets<\/b><span style=\"font-weight: 400;\">: L'\u00e9tude a \u00e9galement montr\u00e9 que les mod\u00e8les form\u00e9s sur vid\u00e9o d\u00e9veloppaient des repr\u00e9sentations d'objets plus robustes que ceux form\u00e9s sur des images statiques. Cela s'est av\u00e9r\u00e9 \u00e9vident dans les t\u00e2ches n\u00e9cessitant la reconnaissance d'objets dans diverses conditions, soulignant la valeur des informations temporelles dans l'apprentissage de mod\u00e8les plus r\u00e9sistants et polyvalents.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Mise \u00e0 l'\u00e9chelle des donn\u00e9es et performance des mod\u00e8les<\/b><span style=\"font-weight: 400;\">: La recherche a explor\u00e9 la fa\u00e7on dont les performances des mod\u00e8les se sont am\u00e9lior\u00e9es avec l'augmentation des donn\u00e9es vid\u00e9o de l'ensemble de donn\u00e9es SAYCam. Cela sugg\u00e8re que l'acc\u00e8s \u00e0 des donn\u00e9es plus \u00e9tendues et plus r\u00e9alistes augmentera les performances des mod\u00e8les.<\/span><\/li>\n<\/ul>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">6\/ R\u00e9sultats : M\u00eame avec des donn\u00e9es limit\u00e9es, nous avons constat\u00e9 que le mod\u00e8le peut acqu\u00e9rir des correspondances mot-r\u00e9f\u00e9rent \u00e0 partir de quelques dizaines \u00e0 quelques centaines d'exemples seulement, qu'il peut se g\u00e9n\u00e9raliser \u00e0 de nouveaux ensembles de donn\u00e9es visuelles et qu'il peut r\u00e9aliser des alignements multimodaux. Une fois de plus, un v\u00e9ritable apprentissage de la langue est possible \u00e0 partir... <a href=\"https:\/\/t.co\/FCHfZCqftr\">pic.twitter.com\/FCHfZCqftr<\/a><\/p>\n<p>- Wai Keen Vong (@wkvong) <a href=\"https:\/\/twitter.com\/wkvong\/status\/1753132306682753462?ref_src=twsrc%5Etfw\">1er f\u00e9vrier 2024<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<p><span style=\"font-weight: 400;\">Wai Keen Vong, chercheur au Center for Data Science de l'universit\u00e9 de New York, <\/span><a href=\"https:\/\/www.nyu.edu\/about\/news-publications\/news\/2024\/february\/ai-learns-through-the-eyes-and-ears-of-a-child.html\"><span style=\"font-weight: 400;\">a discut\u00e9 de la nouveaut\u00e9 de cette approche<\/span><\/a><span style=\"font-weight: 400;\">Nous montrons, pour la premi\u00e8re fois, qu'un r\u00e9seau neuronal form\u00e9 \u00e0 partir de donn\u00e9es r\u00e9alistes du point de vue du d\u00e9veloppement d'un seul enfant peut apprendre \u00e0 relier les mots \u00e0 leurs \u00e9quivalents visuels\".\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Abordant les probl\u00e8mes auxquels sont confront\u00e9s les mod\u00e8les d'IA g\u00e9n\u00e9rative modernes, M. Vong a d\u00e9clar\u00e9 : \"Les syst\u00e8mes d'IA de pointe actuels sont form\u00e9s \u00e0 partir de quantit\u00e9s astronomiques de donn\u00e9es (souvent des milliards\/trillions de mots), alors que les humains parviennent \u00e0 apprendre et \u00e0 utiliser le langage avec beaucoup moins de donn\u00e9es (des centaines de millions de mots), de sorte que le lien entre ces progr\u00e8s en mati\u00e8re d'apprentissage automatique et l'acquisition du langage humain n'est pas clair.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">L'int\u00e9r\u00eat pour les nouvelles m\u00e9thodes d'apprentissage automatique \"l\u00e9g\u00e8res\" va croissant. D'une part, les mod\u00e8les monolithiques colossaux tels que GPT-3 et GPT-4 <\/span><a href=\"https:\/\/dailyai.com\/fr\/2024\/02\/data-center-energy-demands-soar-because-of-ai-how-do-we-sustain-it\/\"><span style=\"font-weight: 400;\">ont d'immenses exigences en mati\u00e8re de pouvoir<\/span><\/a><span style=\"font-weight: 400;\"> qui ne sont pas faciles \u00e0 satisfaire.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Deuxi\u00e8mement, la cr\u00e9ation de <\/span><a href=\"https:\/\/dailyai.com\/fr\/2023\/08\/the-evolution-of-bio-inspired-ai-developments-and-future-direction\/\"><span style=\"font-weight: 400;\">syst\u00e8mes d'IA bio-inspir\u00e9s<\/span><\/a><span style=\"font-weight: 400;\"> est essentielle pour concevoir des mod\u00e8les ou des robots qui \"pensent\" et \"se comportent\" authentiquement comme nous.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">M. Vong a \u00e9galement reconnu les limites de l'\u00e9tude, notant que \"l'une des mises en garde concerne le fait que l'entr\u00e9e linguistique dans le mod\u00e8le est un texte, et non le signal de parole sous-jacent que les enfants re\u00e7oivent\".<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Cette \u00e9tude a remis en question les mod\u00e8les traditionnels de formation \u00e0 l'IA et a contribu\u00e9 au d\u00e9bat en cours sur les moyens les plus efficaces d'imiter l'apprentissage biologique. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">L'int\u00e9r\u00eat pour ce sujet va cro\u00eetre \u00e0 mesure que les mod\u00e8les d'IA colossaux commenceront \u00e0 montrer leurs limites pour l'avenir.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Des chercheurs de l'universit\u00e9 de New York se sont inspir\u00e9s des processus d'apprentissage des enfants pour former un syst\u00e8me d'intelligence artificielle.  La m\u00e9thode, d\u00e9crite dans la revue Science, permet \u00e0 l'IA d'apprendre de son environnement sans d\u00e9pendre fortement de donn\u00e9es \u00e9tiquet\u00e9es, ce qui est la cl\u00e9 de la conception de l'\u00e9tude. Elle refl\u00e8te la mani\u00e8re dont les enfants apprennent en absorbant de grandes quantit\u00e9s d'informations de leur environnement, en donnant progressivement un sens au monde qui les entoure. L'\u00e9quipe a cr\u00e9\u00e9 un ensemble de donn\u00e9es \u00e0 partir de 60 heures d'enregistrements vid\u00e9o \u00e0 la premi\u00e8re personne provenant d'une cam\u00e9ra mont\u00e9e sur la t\u00eate et port\u00e9e par des enfants \u00e2g\u00e9s de six mois \u00e0 deux ans, afin de reproduire le point de vue d'un enfant dans leur mod\u00e8le d'IA.  1\/<\/p>","protected":false},"author":2,"featured_media":9707,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[350,105,510,331],"class_list":["post-9706","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-bio-inspired-ai","tag-machine-learning","tag-neuromorphic-computing","tag-neuroscience"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>New York University researchers build AI that sees 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