{"id":21527,"date":"2019-11-05T20:29:52","date_gmt":"2019-11-06T01:29:52","guid":{"rendered":"https:\/\/cifar661.wpengine.com\/cifarnews\/2019\/11\/05\/les-cerveaux-derri-re-l-ia\/"},"modified":"2022-10-27T06:21:01","modified_gmt":"2022-10-27T10:21:01","slug":"les-cerveaux-derri-re-l-ia","status":"publish","type":"post","link":"https:\/\/cifar.ca\/fr\/cifarnews\/2019\/11\/05\/les-cerveaux-derri-re-l-ia\/","title":{"rendered":"Les cerveaux derri\u00e8re l\u2019IA"},"content":{"rendered":"<p dir=\"ltr\">Les cerveaux derri\u00e8re l\u2019IA est une s\u00e9rie vid\u00e9o en 10 \u00e9pisodes qui nous fait d\u00e9couvrir les coulisses de l\u2019intelligence artificielle et certains des chercheurs canadiens les plus talentueux dans ce domaine.<\/p>\n<p>Elle pr\u00e9sente les projets de recherche qui les occuperont au cours des cinq prochaines ann\u00e9es en tant que titulaires et boursiers de chaires en IA Canada-CIFAR, et ce qui les motive \u00e0 mener des recherches dans des domaines qui vont transformer notre fa\u00e7on de vivre et de travailler.<\/p>\n<p dir=\"ltr\">Le CIFAR est \u00e0 la t\u00eate de la <a href=\"[f669d9a7-009d-4d83-ddaa-000000000002]70052e45-d8fa-4064-9206-6f58edd07abf\">Strat\u00e9gie pancanadienne en mati\u00e8re d\u2019intelligence artificielle<\/a>\u00a0du gouvernement du Canada, assortie d\u2019un octroi de 125 millions de dollars, en collaboration avec les trois nouveaux instituts d\u2019IA : Amii \u00e0 Edmonton, Mila \u00e0 Montr\u00e9al et l\u2019Institut Vecteur \u00e0 Toronto.<\/p>\n<p>Surveillez chaque semaine la diffusion de la nouvelle vid\u00e9o \u00ab\u00a0Les cerveaux derri\u00e8re l\u2019IA\u00a0\u00bb et participez \u00e0 la conversation sur Twitter avec #RealBrains sur\u00a0<a href=\"https:\/\/twitter.com\/CIFAR_News\" target=\"_blank\" rel=\"noopener noreferrer\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/twitter.com\/CIFAR_News&amp;source=gmail&amp;ust=1573159040500000&amp;usg=AFQjCNGWv7uBnokxXvMzafaTRKrK_0DC7A\">@CIFAR_News<\/a>.<\/p>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/M4hxVKkpVeY\" width=\"560\" height=\"315\" frameborder=\"0\"><\/iframe><\/p>\n<div class=\"video_transcript_box\">\n\t<a class=\"transcript-btn\" aria-haspopup=\"true\" tabindex=\"0\" data-content=\"transcript\" data-text=\"Show Transcript\" role=\"button\" aria-expanded=\"false\" style=\"color: #333f48;\" aria-label=\"Afficher la transcription - The Brains Behind AI: CIFAR's Dr. Elissa Strome\">Afficher la transcription<\/a><\/p>\n<div class=\"transcript-text\" role=\"dialog\" tabindex=\"0\" style=\"display: none;\">\n\t\tI\u2019m Alisa Strome I\u2019m the associate vice<br \/>\npresident research and the executive<br \/>\ndirector of the pan-canadian<br \/>\nAI strategy at Seaford so one of the key<br \/>\nelements of the pan-canadian AI strategy<br \/>\nis the Canada CFRA I chairs program<br \/>\nwhich is designed to both recruit and<br \/>\nretain some of the world\u2019s great<br \/>\nresearchers in AI in Canada as part of<br \/>\nour national ai\u2019s strategy we\u2019re<br \/>\ninvesting very deeply in fundamental AI<br \/>\nresearch and the goal is to really<br \/>\nsupport the scientists who are<br \/>\ndeveloping and advancing the science of<br \/>\nAI and thinking about what are the<br \/>\nopportunities for its applications and<br \/>\nhow do we make those better more<br \/>\nefficient more effective one of the<br \/>\nbiggest challenges in AI in Canada and<br \/>\naround the world is around equity<br \/>\ndiversity and inclusion right now<br \/>\ninternationally around the world only<br \/>\n18% of researchers in AI are women and<br \/>\nclearly that\u2019s a problem and I think<br \/>\nit\u2019s a problem that we need to solve<br \/>\nit\u2019s a problem in Canada just like it is<br \/>\neverywhere else in the world and so it\u2019s<br \/>\nsee far we\u2019re actually really focusing<br \/>\nvery distinctly on that issue many of<br \/>\nthe training programs that we offer for<br \/>\ngraduate students and even high school<br \/>\nstudents and Beyond across the country<br \/>\nevery summer are really focused on<br \/>\nengaging and working with<br \/>\nunderrepresented groups in AI a<br \/>\nparticular focus on engaging girls and<br \/>\nwomen and giving them skills and<br \/>\nexpertise so that they can<br \/>\nto pursue careers in AI and help us to<br \/>\ndrive this technology forward as a<br \/>\nsociety if we are going to be able to<br \/>\nreally truly benefit on what AI can<br \/>\noffer to humanity we need to make sure<br \/>\nthat many many different perspectives<br \/>\nare included\n\t<\/div>\n<\/div>\n<p>Que fait le Canada pour favoriser l\u2019\u00e9quit\u00e9, la diversit\u00e9 et l\u2019inclusion dans le domaine de la recherche et d\u00e9veloppement en IA ? Elissa Strome est vice-pr\u00e9sidente adjointe en recherche et directrice ex\u00e9cutive de la Strat\u00e9gie pancanadienne en mati\u00e8re d\u2019intelligence artificielle au CIFAR. Elle est l\u2019un des cerveaux derri\u00e8re cette strat\u00e9gie, la premi\u00e8re strat\u00e9gie nationale au monde qui soutient l\u2019\u00e9quit\u00e9, la diversit\u00e9 et l\u2019inclusion dans les secteurs de la recherche en IA, de la formation de la rel\u00e8ve et du d\u00e9veloppement de produits et services.<\/p>\n<hr \/>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/lHuvuaYhDWA\" width=\"560\" height=\"315\" frameborder=\"0\"><\/iframe><\/p>\n<div class=\"video_transcript_box\">\n\t<a class=\"transcript-btn\" aria-haspopup=\"true\" tabindex=\"0\" data-content=\"transcript\" data-text=\"Show Transcript\" role=\"button\" aria-expanded=\"false\" style=\"color: #333f48;\" aria-label=\"Afficher la transcription - The Brains Behind AI: Jimmy Ba\">Afficher la transcription<\/a><\/p>\n<div class=\"transcript-text\" role=\"dialog\" tabindex=\"0\" style=\"display: none;\">\n\t\tI\u2019m Jimmy Paul I\u2019m a assistant professor<br \/>\nat the University of Toronto and also a<br \/>\nfaculty affiliate at vector Institute<br \/>\nI\u2019m interested in how to make new and I<br \/>\nwas to learn faster because right now<br \/>\naudioletter kind of silly compared to<br \/>\nhumans<br \/>\nthen with quite a lot of data and a lot<br \/>\nof compute so my research focus or do I<br \/>\nmake them faster and how can I<br \/>\nunderstand the current algorithms that<br \/>\nwe apply in deep learning that makes<br \/>\nthem work so to me my personal interest<br \/>\nis by building faster learning machines<br \/>\nwe can probably tap in some new insight<br \/>\nabout how human intelligence works<br \/>\nbehind the same right the kind of take a<br \/>\nlittle peek behind the curtains to<br \/>\nunderstand what makes us so special to<br \/>\nunderstand the world around us what gave<br \/>\nus ability to learn the included physics<br \/>\nmodels and allows us to do like<br \/>\nhigh-level reasonings about our<br \/>\nlong-term plans and short-term plans my<br \/>\npersonal belief is that the more<br \/>\ndialogues we have across the disciplines<br \/>\nacross the field the better we\u2019ll<br \/>\nunderstand the problem as a whole of how<br \/>\nshould we decide as a society to unable<br \/>\nthe technology for everyone for me it\u2019s<br \/>\na great opportunities to work on very<br \/>\nfoundational research problems where<br \/>\ntypically the industry search are very<br \/>\nshort term and you\u2019re cited in a sense<br \/>\nthat we think about two or three years<br \/>\nresearch program that potentially has a<br \/>\nproduct on the line where see far to<br \/>\ngive me the freedom and able me to focus<br \/>\non more much more long term research<br \/>\nproblems for example AI safety program<br \/>\nand building model-based reinforcement<br \/>\nlearning or trying to understand the<br \/>\ntheoretical properties of the deep<br \/>\nlearning when we use today<br \/>\nyou\n\t<\/div>\n<\/div>\n<p>Comment acc\u00e9l\u00e9rer les r\u00e9seaux neuronaux ? Jimmy Ba, titulaire d\u2019une chaire en IA Canada-CIFAR, est le cerveau derri\u00e8re l\u2019optimiseur Adam, l\u2019un des algorithmes les plus importants pour l\u2019entra\u00eenement de mod\u00e8les d\u2019apprentissage profond. Membre du corps professoral de l\u2019Institut Vecteur \u00e0 Toronto et professeur adjoint au d\u00e9partement d\u2019informatique de l\u2019Universit\u00e9 de Toronto, il m\u00e8ne des recherches en IA pour d\u00e9velopper de meilleurs technologies pour tous.<\/p>\n<hr \/>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/gTHiEEfR0NY\" width=\"560\" height=\"315\" frameborder=\"0\"><\/iframe><\/p>\n<p>Pouvons-nous entra\u00eener un ordinateur \u00e0 comprendre le langage comme un humain le fait ? Et pouvons-nous utiliser ce langage pour b\u00e2tir un monde virtuel en 3D ? Angel Chang, titulaire d\u2019une chaire en IA Canada-CIFAR, utilise l\u2019IA pour convertir le langage naturel en repr\u00e9sentations du monde en 3D afin de mieux pr\u00e9parer les syst\u00e8mes du futur \u00e0 interpr\u00e9ter le monde r\u00e9el et \u00e0 y agir. Angel est membre du corps professoral de l\u2019Alberta Machine Intelligence Institute (Amii) et professeure adjointe \u00e0 l\u2019Universit\u00e9 Simon Fraser.<\/p>\n<hr \/>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/vXYQA6ywl6k\" width=\"560\" height=\"315\" frameborder=\"0\"><\/iframe><\/p>\n<div class=\"video_transcript_box\">\n\t<a class=\"transcript-btn\" aria-haspopup=\"true\" tabindex=\"0\" data-content=\"transcript\" data-text=\"Show Transcript\" role=\"button\" aria-expanded=\"false\" style=\"color: #333f48;\" aria-label=\"Afficher la transcription - The Brains Behind AI: Yoshua Bengio\">Afficher la transcription<\/a><\/p>\n<div class=\"transcript-text\" role=\"dialog\" tabindex=\"0\" style=\"display: none;\">\n     my name is Jakob NGO and I\u2019m a professor<br \/>\nat University Maria I am the scientific<br \/>\ndirector of miele my collaborators and I<br \/>\nare trying to understand the limitations<br \/>\nof guarantee.i which is using machine<br \/>\nlearning a lot of deep learning we are<br \/>\nvery interested in the perspective of<br \/>\nhow agents like animals and humans who<br \/>\nact in their environment actually have<br \/>\nsome understanding of their environment<br \/>\nunderstand that the causal relationships<br \/>\nin it and how they can reason in it by<br \/>\ndoing things that current learning based<br \/>\nsystems are not really yet good at but<br \/>\nthat humans are very good at the reason<br \/>\nI got into AI when I was in my early 20s<br \/>\nis because I thought that intelligence<br \/>\nwas one of the biggest mystery that<br \/>\nscience needed to understand and in<br \/>\naddition the reason I got into this<br \/>\nparticular approach to AI base on neural<br \/>\nnetworks is because it sits at the<br \/>\nintersection of the question of<br \/>\nunderstanding human and animal<br \/>\nintelligence and understanding how to<br \/>\nbuild intelligent machines and it\u2019s it<br \/>\nrests on the idea that maybe the same<br \/>\nprinciples would apply to both so the<br \/>\nsea far AI chair program is very<br \/>\nimportant for Canada\u2019s strategic<br \/>\ndevelopment both economically and<br \/>\nsocially the chairs are bringing<br \/>\nresearchers to Canada are keeping good<br \/>\nresearchers in Canada both professors<br \/>\nbut also the students and postdocs that<br \/>\nthey hire and they\u2019re also showing to<br \/>\nthe rest of the world that we are<br \/>\nserious about AI that we are investing<br \/>\nin AI and that it\u2019s a long-term project<br \/>\nfor the country\n\t<\/div>\n<\/div>\n<p>L\u2019IA peut-elle r\u00e9soudre le myst\u00e8re de l\u2019intelligence humaine et animale ? Yoshua Bengio, titulaire d\u2019une chaire en IA Canada-CIFAR, est un pionnier de la recherche dans le domaine de l\u2019apprentissage profond et l\u2019un des cerveaux derri\u00e8re les r\u00e9seaux neuronaux artificiels, une approche qui enseigne aux ordinateurs \u00e0 imiter l\u2019intelligence humaine. Yoshua est codirecteur et boursier du programme Apprentissage automatique, apprentissage biologique du CIFAR, professeur \u00e0 l\u2019Universit\u00e9 de Montr\u00e9al, fondateur et directeur scientifique de Mila, et directeur scientifique de l\u2019IVADO. Il est titulaire de la Chaire de recherche du Canada en algorithmes d&rsquo;apprentissage statistique et l\u2019un des laur\u00e9ats du prix Turing de 2018, consid\u00e9r\u00e9 comme le prix Nobel de l\u2019informatique, pour sa contribution \u00e0 l\u2019apprentissage profond.<\/p>\n<hr \/>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/1yRg4yqS520\" width=\"560\" height=\"315\" frameborder=\"0\"><\/iframe><\/p>\n<div class=\"video_transcript_box\">\n\t<a class=\"transcript-btn\" aria-haspopup=\"true\" tabindex=\"0\" data-content=\"transcript\" data-text=\"Show Transcript\" role=\"button\" aria-expanded=\"false\" style=\"color: #333f48;\" aria-label=\"Afficher la transcription - The Brains Behind AI: Martha White\">Afficher la transcription<\/a><\/p>\n<div class=\"transcript-text\" role=\"dialog\" tabindex=\"0\" style=\"display: none;\">\nmy name is Martha white I\u2019m an assistant<br \/>\nprofessor at the University of Alberta<br \/>\nand computing science department and<br \/>\nalso the director of RLE I I work in an<br \/>\narea called reinforcement learning and<br \/>\nit\u2019s about having an agent interact with<br \/>\nthe world the real world around it in a<br \/>\ntrial-and-error way and the higher level<br \/>\ngoal is about having an agent learning<br \/>\nin a continual way you want you don\u2019t<br \/>\njust want to have an ego that you<br \/>\nprogrammed offline that you\u2019re deploying<br \/>\nto the real world we kind of think of<br \/>\nthem like agents like we are they are<br \/>\nconstantly learning as they\u2019re<br \/>\ninteracting with the world so the<br \/>\npotential of applications is really big<br \/>\nI would argue that anywhere where humans<br \/>\nare currently doing intelligent things<br \/>\nor that we have intelligent systems is a<br \/>\ngreat place for reinforcement learning<br \/>\nwhen you have this agent and it\u2019s<br \/>\ncontinually interacting in the world it<br \/>\nneeds to actually take in that flow of<br \/>\ndata and summarize it into some compact<br \/>\nform that lets it reason about the world<br \/>\nso you can\u2019t just remember everything<br \/>\nit\u2019s seen you an imagined it has to pick<br \/>\nout the most important things and store<br \/>\nthat information and unconstant Lee<br \/>\nupdate what it currently believes about<br \/>\nthe world so research in general is it\u2019s<br \/>\nalways been important but I would argue<br \/>\nit\u2019s becoming even more and more<br \/>\nimportant as you\u2019re entering this age<br \/>\nwhere information is just a huge economy<br \/>\nyou know expertise is extremely<br \/>\nimportant if from an industry<br \/>\nperspective I think investing in<br \/>\nresearch is great because we help<br \/>\ndevelop that industry but we also<br \/>\nattract really good people to Canada who<br \/>\nwill then produce good students that<br \/>\nwill start those companies or they<br \/>\nthemselves will decide to help start<br \/>\nthose companies and that\u2019s in fact<br \/>\nexactly what\u2019s happened in Edmonton\n\t<\/div>\n<\/div>\n<p>Comment enseignons-nous aux machines \u00e0 prendre des d\u00e9cisions sens\u00e9es dans des situations r\u00e9elles\u00a0? Martha White, titulaire d\u2019une chaire en IA Canada-CIFAR, utilise les techniques d\u2019apprentissage par renforcement pour entra\u00eener des agents autonomes \u00e0 prendre des d\u00e9cisions plus judicieuses et efficaces en proc\u00e9dant par essai-erreur. Les applications sont nombreuses et pourraient \u00eatre utilis\u00e9es pour les v\u00e9hicules et les robots autonomes, ainsi que dans des secteurs d\u2019activit\u00e9 comme les finances ou la fabrication. Martha White est membre de l\u2019Amii, professeure adjointe au d\u00e9partement d\u2019informatique de l\u2019Universit\u00e9 de l\u2019Alberta et directrice du RLAI.<\/p>\n<hr \/>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/JBNEXU42HiQ\" width=\"560\" height=\"315\" frameborder=\"0\"><\/iframe><\/p>\n<div class=\"video_transcript_box\">\n\t<a class=\"transcript-btn\" aria-haspopup=\"true\" tabindex=\"0\" data-content=\"transcript\" data-text=\"Show Transcript\" role=\"button\" aria-expanded=\"false\" style=\"color: #333f48;\" aria-label=\"Afficher la transcription - The Brains Behind AI: Blake Richards\">Afficher la transcription<\/a><\/p>\n<div class=\"transcript-text\" role=\"dialog\" tabindex=\"0\" style=\"display: none;\">\nmy name is Blake Richards I\u2019m a<br \/>\nneuroscientist and artificial<br \/>\nintelligence researcher I\u2019m an assistant<br \/>\nprofessor at McGill University my<br \/>\nresearch is about trying to uncover<br \/>\ngeneral principles of intelligence that<br \/>\napply equally to both machines and<br \/>\npeople the kinds of things that we study<br \/>\nare for example you know what do you<br \/>\nactually use your memory for and how<br \/>\ndoes your brain decide what to remember<br \/>\nand what to forget that\u2019s actually a<br \/>\nreally fundamental principle to your own<br \/>\nintelligence and your own understanding<br \/>\nof the world you can imagine that if you<br \/>\nwere able to build a computer system<br \/>\nthat remembered in the way that humans<br \/>\ndo it would be just that much more<br \/>\nintuitive and potentially able to take<br \/>\non human roles in society as opposed to<br \/>\njust being some kind of alien black box<br \/>\nthat we stick stuff on see far has had a<br \/>\nbig impact on my direction as a<br \/>\nresearcher because what it really allows<br \/>\nus to do as researchers is to explore<br \/>\nthe edges of our knowledge but also<br \/>\nbecause a big part of their mission is<br \/>\nthat you have to come and talk to other<br \/>\nresearchers from other disciplines you<br \/>\nhave to get other perspectives come to<br \/>\nlots of meetings think about things in<br \/>\nways that you hadn\u2019t thought about<br \/>\nbefore and interact with people you<br \/>\nwouldn\u2019t normally interact with\n\t<\/div>\n<\/div>\n<p>Comment votre cerveau d\u00e9termine-t-il quels souvenirs sont assez importants pour les garder en m\u00e9moire ? Blake Richards, titulaire d\u2019une chaire en IA Canada-CIFAR et boursier du CIFAR, utilise l\u2019intelligence artificielle pour mieux comprendre les principes fondamentaux de l\u2019intelligence humaine et de celle des machines. Blake est boursier du programme Apprentissage automatique, apprentissage biologique du CIFAR, membre de Mila et professeur \u00e0 l\u2019Institut et h\u00f4pital neurologiques de Montr\u00e9al et \u00e0 l\u2019\u00c9cole d\u2019informatique de l\u2019Universit\u00e9 McGill.<\/p>\n<hr \/>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/WpXsJMtKka0\" width=\"560\" height=\"315\" frameborder=\"0\"><\/iframe><\/p>\n<div class=\"video_transcript_box\">\n\t<a class=\"transcript-btn\" aria-haspopup=\"true\" tabindex=\"0\" data-content=\"transcript\" data-text=\"Show Transcript\" role=\"button\" aria-expanded=\"false\" style=\"color:#333f48;\" aria-label=\"Afficher la transcription - The Brains Behind AI: Alona Fyshe\">Afficher la transcription<\/a><\/p>\n<div class=\"transcript-text\" role=\"dialog\" tabindex=\"0\" style=\"display: none;\">\nI\u2019m Alanna fish I\u2019m an assistant<br \/>\nprofessor at the University of Alberta<br \/>\nand I\u2019m also a Canada Safari i J<br \/>\nmy research is trying to find<br \/>\nconnections between the way computers<br \/>\nunderstand the world and the way we<br \/>\nunderstand the world so when we build<br \/>\ncomputer models of for example computer<br \/>\nvision we ask computers to tell us<br \/>\nwhat\u2019s in a picture and it turns out the<br \/>\nway they learn to do that actually looks<br \/>\na lot like the way the human brain does<br \/>\nit so I\u2019m my research is trying to draw<br \/>\nthose connections between the way the<br \/>\nbrain works and the way that machine<br \/>\nlearning models work we understood how<br \/>\npeople perceived images we could build<br \/>\ncomputer models that perceive images in<br \/>\nthe same way and that might mean they\u2019re<br \/>\nbetter at that perception it could also<br \/>\nmean things like when they make a<br \/>\nmistake it\u2019s a more human mistake and<br \/>\nthat sort of thing could be really<br \/>\nimportant for applications where<br \/>\ncomputers are interacting with the real<br \/>\nworld I think Canada has been so well<br \/>\npositioned for the AI revolution I think<br \/>\nwe happen to have a really strong group<br \/>\nof people already here and then with the<br \/>\nfunding from Seifer on the Canadian<br \/>\ngovernment were able to grow that team<br \/>\nin a way that has really put us ahead of<br \/>\nother countries I think it\u2019s a great<br \/>\ntime to be in Canada for AI but the<br \/>\nthing that I think has been most<br \/>\nimportant to me with my involvement with<br \/>\nsee far has been the networking and the<br \/>\ngetting to know other people who are<br \/>\nworking on AI so that has been has had a<br \/>\nhuge impact on my career a measurable<br \/>\nimpact on my career already and I\u2019m<br \/>\nquite a new researcher so having those<br \/>\nsorts of opportunities early on is<br \/>\nreally important you can never really<br \/>\ntell what what new science is going to<br \/>\nchange the world and so finding the<br \/>\nright people smart people and giving<br \/>\nthem the money they need to make<br \/>\nprogress is really important and it\u2019s<br \/>\nwhat will make science into reality\n\t<\/div>\n<\/div>\n<p>Quand des ordinateurs voient une image, comment la per\u00e7oivent-ils\u00a0? Alona Fyshe, titulaire d\u2019une chaire en IA Canada-CIFAR, est \u00e0 l\u2019avant-garde de la recherche en vision artificielle et aide les ordinateurs \u00e0 voir le monde comme le font les humains. Alona est boursi\u00e8re du programme D\u00e9veloppement du cerveau et de l\u2019enfant du CIFAR, professeure adjointe de l\u2019Universit\u00e9 de l\u2019Alberta et membre de l\u2019Amii.<\/p>\n<hr \/>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/Tm491Ian5VY\" width=\"560\" height=\"315\" frameborder=\"0\"><\/iframe><\/p>\n<p>Les r\u00e9seaux neuronaux ont r\u00e9volutionn\u00e9 certains domaines comme la vision artificielle et le traitement du langage naturel. Mais comment les entra\u00eener pour qu\u2019ils soient encore plus rapides et efficaces\u00a0? Roger Grosse, titulaire d\u2019une chaire en IA Canada-CIFAR, vise \u00e0 am\u00e9liorer la capacit\u00e9 des machines \u00e0 pr\u00e9dire certaines situations et \u00e0 s\u2019y adapter. Roger est professeur adjoint d\u2019informatique \u00e0 l\u2019Universit\u00e9 de Toronto, membre fondateur de l\u2019Institut Vecteur, titulaire d\u2019une Chaire de recherche du Canada en inf\u00e9rence probabiliste et apprentissage profond, et cocr\u00e9ateur de Metacademy.<\/p>\n<hr \/>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/2YXvjT3bKW4\" width=\"560\" height=\"315\" frameborder=\"0\"><\/iframe><\/p>\n<p>Les syst\u00e8mes d\u2019IA de l\u2019avenir, tels que les robots et les v\u00e9hicules autonomes, seront davantage int\u00e9gr\u00e9s \u00e0 la soci\u00e9t\u00e9. Graham Taylor explore comment rendre les machines plus pr\u00e9cises et plus robustes afin qu\u2019elles puissent mieux interagir avec les humains dans le monde r\u00e9el. Graham est boursier du programme Apprentissage automatique, apprentissage biologique du CIFAR, chercheur mondial CIFAR-Azrieli, membre du corps professoral de l\u2019Institut Vecteur, professeur agr\u00e9g\u00e9 de g\u00e9nie \u00e0 l\u2019Universit\u00e9 de Guelph et directeur des \u00e9tudes \u00e0 Next AI.<\/p>\n<hr \/>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/XqzT-rBDTPU\" width=\"560\" height=\"315\" frameborder=\"0\"><\/iframe><\/p>\n<p>R\u00e9soudre les myst\u00e8res de l\u2019intelligence artificielle pourrait conduire \u00e0 une compr\u00e9hension plus profonde de notre propre intelligence humaine. Rich Sutton est un pionnier de l\u2019apprentissage par renforcement, un type d\u2019apprentissage automatique qui permet aux machines d\u2019apprendre des interactions avec leur environnement. Rich est boursier principal du CIFAR et boursier de l\u2019Amii, professeur \u00e0 l\u2019Universit\u00e9 de l\u2019Alberta et fondateur de DeepMind.<\/p>\n<hr \/>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/G2od6Txyqtw\" width=\"560\" height=\"315\" frameborder=\"0\"><\/iframe><\/p>\n<p>Les machines apprennent mieux quand elles ont acc\u00e8s \u00e0 de nombreuses donn\u00e9es, mais il n\u2019est pas toujours facile d\u2019obtenir de gros ensembles de donn\u00e9es. Hugo Larochelle, titulaire d\u2019une chaire en IA Canada-CIFAR, fait progresser la recherche dans le domaine de l\u2019apprentissage \u00e0 partir de peu de donn\u00e9es (few-shot learning), une technique couramment utilis\u00e9e en vision par ordinateur. Hugo cherche \u00e0 rendre les syst\u00e8mes plus rapides et plus pr\u00e9cis en l\u2019absence de nombreuses donn\u00e9es d\u2019entra\u00eenement, un exploit qui pourrait rendre l\u2019apprentissage automatique accessible \u00e0 un public plus large. Hugo est membre associ\u00e9 du programme Apprentissage automatique, apprentissage biologique du CIFAR, membre du corps professoral de Mila et professeur \u00e0 l\u2019Universit\u00e9 de Montr\u00e9al. Il dirige le groupe Google Brain \u00e0 Montr\u00e9al.<\/p>\n<hr \/>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/c0eyC9TmXb8\" width=\"560\" height=\"315\" frameborder=\"0\"><\/iframe><\/p>\n<p>James Wright, titulaire d\u2019une chaire en IA Canada-CIFAR, utilise des algorithmes d\u2019apprentissage automatique pour pr\u00e9dire les comportements humains strat\u00e9giques, une approche qui vise \u00e0 trouver des moyens d\u2019aligner les int\u00e9r\u00eats et les objectifs entre de nombreuses personnes, choses et situations. Ses recherches auront des r\u00e9percussions consid\u00e9rables dans les domaines de l\u2019\u00e9conomie, du commerce et des march\u00e9s. Cela pourrait r\u00e9volutionner la fa\u00e7on dont nous organisons les plateformes en ligne au b\u00e9n\u00e9fice de tous. Boursier \u00e0 l\u2019Amii, James est professeur adjoint \u00e0 l\u2019Universit\u00e9 de l\u2019Alberta.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Les cerveaux derri\u00e8re l\u2019IA est une s\u00e9rie vid\u00e9o en 10 \u00e9pisodes qui nous fait d\u00e9couvrir les coulisses de l\u2019intelligence artificielle et certains des chercheurs canadiens les plus talentueux dans ce domaine.<\/p>\n","protected":false},"author":65,"featured_media":31495,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1771,1842,3972,4697],"tags":[4011,4402,4410,824,4403],"class_list":["post-21527","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nouvelles","category-profil","category-strategie-pancanadienne-en-matiere-dia","category-video-fr","tag-amii-fr","tag-chaires-en-ia-canada-cifar","tag-institut-vecteur","tag-intelligence-artificielle","tag-mila-fr"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - 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