{"id":5132,"date":"2026-05-15T15:30:10","date_gmt":"2026-05-15T13:30:10","guid":{"rendered":"https:\/\/www.agence-lapostolle.com\/?p=5132"},"modified":"2026-04-23T16:17:47","modified_gmt":"2026-04-23T14:17:47","slug":"fei-fei-li-la-femme-qui-a-appris-aux-machines-a-voir","status":"publish","type":"post","link":"https:\/\/www.agence-lapostolle.com\/en\/2026\/05\/15\/fei-fei-li-la-femme-qui-a-appris-aux-machines-a-voir\/","title":{"rendered":"Fei-Fei Li : la femme qui a appris aux machines \u00e0 voir"},"content":{"rendered":"

Comment apprend-on \u00e0 une machine \u00e0 reconna\u00eetre un chat, une voiture ou un visage humain ? Longtemps, cette question a sembl\u00e9 insoluble. C’est une chercheuse d’origine chinoise, Fei-Fei Li<\/strong>, qui a fourni une r\u00e9ponse d\u00e9cisive en construisant ce qui allait devenir le carburant du deep learning<\/a> : une base de donn\u00e9es d’images d’une ampleur in\u00e9dite.<\/p>\n\n\n\n

Pr\u00e9sentation de Fei-Fei Li<\/h2>\n\n\n\n

N\u00e9e en 1976 en Chine<\/strong>, Fei-Fei Li immigre aux \u00c9tats-Unis \u00e0 l’adolescence. Elle se passionne pour la physique avant de se tourner vers l’intelligence artificielle, domaine dans lequel elle r\u00e9alise son doctorat au California Institute of Technology<\/a><\/strong>.<\/p>\n\n\n

\n
\"Image<\/figure>\n<\/div>\n\n\n

Professeure \u00e0 l’Universit\u00e9 Stanford<\/strong>, elle prend la direction du Stanford Artificial Intelligence Laboratory (SAIL)<\/strong>. C\u2019est l’un des centres de recherche les plus influents du monde dans ce domaine.<\/p>\n\n\n\n

ImageNet : l’album photo qui a chang\u00e9 l’IA<\/h2>\n\n\n\n

En 2009<\/strong>, Fei-Fei Li lance ImageNet<\/strong>, un projet ambitieux : constituer la plus grande base de donn\u00e9es d’images \u00e9tiquet\u00e9es du monde. Avec son \u00e9quipe, elle rassemble plus de 14 millions d’images<\/strong> class\u00e9es en 22 000 cat\u00e9gories diff\u00e9rentes.<\/p>\n\n\n\n

Ce projet change tout. Pour la premi\u00e8re fois, les chercheurs disposent de suffisamment de donn\u00e9es pour entra\u00eener des r\u00e9seaux de neurones profonds \u00e0 reconna\u00eetre des objets avec une pr\u00e9cision remarquable. C’est en s’appuyant sur ImageNet qu’AlexNet<\/strong>, en 2012, r\u00e9alise sa perc\u00e9e historique.<\/p>\n\n\n\n

Google Cloud et engagement pour la diversit\u00e9<\/h2>\n\n\n\n

Entre 2017 et 2018<\/strong>, Fei-Fei Li rejoint Google<\/strong> en tant que directrice scientifique du Cloud IA. Elle y d\u00e9fend une vision humaine de l’intelligence artificielle, centr\u00e9e sur ses applications m\u00e9dicales et sociales.<\/p>\n\n\n\n

Fei-Fei Li cofonde \u00e9galement AI4ALL<\/strong>, une organisation d\u00e9di\u00e9e \u00e0 promouvoir la diversit\u00e9 et l’inclusion dans le domaine de l’IA. Elle est convaincue que la technologie ne peut \u00eatre juste que si elle est construite par des \u00e9quipes qui refl\u00e8tent la diversit\u00e9 du monde.<\/p>\n\n\n\n

Ce que Fei-Fei Li a apport\u00e9 \u00e0 l\u2019informatique <\/h2>\n\n\n\n

Sans ImageNet, le boom du deep learning en vision par ordinateur n’aurait pas \u00e9t\u00e9 possible. Les syst\u00e8mes de reconnaissance faciale, les voitures autonomes, les outils de diagnostic m\u00e9dical par image. Ils lui doivent tous une part essentielle de leur existence.<\/p>\n\n\n\n

En conclusion<\/h2>\n\n\n\n

Fei-Fei Li a donn\u00e9 aux machines la capacit\u00e9 de voir, tout en rappelant que la technologie doit rester au service des humains, et de tous les humains.<\/p>\n\n\n\n

<\/p>","protected":false},"excerpt":{"rendered":"

Comment apprend-on \u00e0 une machine \u00e0 reconna\u00eetre un chat, une voiture ou un visage humain ? Longtemps, cette question a sembl\u00e9 insoluble. C’est une chercheuse d’origine chinoise, Fei-Fei Li, qui a fourni une r\u00e9ponse d\u00e9cisive en construisant ce qui allait devenir le carburant du deep learning : une base de donn\u00e9es d’images d’une ampleur in\u00e9dite. […]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[18,19,198,4,8],"tags":[20,112,75,7,121],"class_list":["post-5132","post","type-post","status-publish","format-standard","hentry","category-google","category-historique","category-intelligence-artificielle","category-le-point-com","category-site-internet","tag-historique","tag-intelligence-artificielle","tag-internet","tag-site-internet","tag-web"],"yoast_head":"\nFei-Fei Li : la femme qui a appris aux machines \u00e0 voir<\/title>\n<meta name=\"description\" content=\"Comment apprend-on \u00e0 une machine \u00e0 reconna\u00eetre une voiture ou un visage humain ? 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