Yoshua Bengio on intelligent machines-VPRO-The Mind of the Universe.ogv 1 h 30 min 58 s, 1,920 × 1,080; 2.02 GB Yoshua Bengio, October 27, 2016.jpg 316 × 384; 53 KB Play media Follow. Ed. Machine learning deep learning artificial intelligence. Previous page. In: Proceedings of the IEEE 86.11, pp. Yoshua Bengio is best known for his groundbreaking work in artificial intelligence, particularly his work on artificial neural networks and deep learning. Yoshua Bengio travaille, par exemple, avec des industriels du domaine pharmaceutique pour identifier les molécules les plus prometteuses pour le développement de nouveaux médicaments. Codirecteur du programme Apprentissage automatique, apprentissage biologique du CIFAR, il est également fondateur et directeur scientifique de Mila, l’Institut québécois d’intelligence artificielle, le plus important groupe universitaire de recherche en apprentissage profond au monde. “Identifying and attacking the saddle point problem in high-dimensional non-convex optimization”. If you are familiar with him, please correct the wrong things, and answer the " " parts. In: AISTATS’2010. If the file has been modified from its original state, some details may not fully reflect the modified file. ===== Yoshua Bengio 1. LeCun, Y., Y. Bengio, and G. Hinton. Ces honneurs reflètent l’influence profonde de son travail sur l’évolution de notre société. Sa contribution en recherche est indéniable. “Gradient-based learning applied to document recognition,” Proceedings of the IEEE, vol. Contact GitHub support about this user’s behavior. Yoshua Bengio; Metadata. Adjointe du professeur Bengio 2278–2324. by William W. Cohen, Andrew McCallum, and Sam T. Roweis. In: ICLR’2015, arXiv:1409.0473. He attributes his comfort in … Eye on AI sat down with the two recently for their first … “On the number of inference regions of deep feed forward networks with piece-wise linear activations”. “Curriculum Learning”. 1137– 1155. In: Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML’08). to target humans without human oversight. Julie Mongeau Yoshua Bengio works in computer science, specifically artificial intelligence (machine learning). Il est notamment officier de l’Ordre du Canada, fellow de la Société royale du Canada, récipiendaire du Prix Marie-Victorin en plus d’avoir été nommé Scientifique de l’année par Radio-Canada en 2017. “Greedy Layer-Wise Training of Deep Networks”. by Bernhard Schölkopf, John Platt, and Thomas Hoffman. En 2019, il reçoit le Prix ACM A.M. Turing « le Nobel de l’informatique » conjointement avec Geoffrey Hinton et Yann LeCun pour leurs avancées en fondements conceptuels et en ingénierie qui ont fait des réseaux neuronaux profonds une composante essentielle de l’informatique. Bengio, Yoshua and Samy Bengio (2000). Understanding intelligence and its implications at all levels to unlock artificial intelligence (AI) is Yoshua Bengio’s long-term goal. Les étudiants et les stagiaires intéressés à être supervisé à Mila, l’Institut québécois d’intelligence artificielle, sont invités à suivre les instructions de demande de supervision sur le site de Mila. Le professeur Bengio aspire à découvrir les principes qui mènent à l’intelligence grâce à l’apprentissage et ses recherches lui ont valu plusieurs distinctions. Depuis 1993, il œuvre à titre de professeur au Département d’informatique et de recherche opérationnelle (DIRO) de l’Université de Montréal. "Deep learning." Yoshua Bengio just won the Turing Award, the highest distinction in computer science and artificial intelligence, with Geoffrey Hinton and Yann Lecun. Keep up to date on what’s happening in AI by subscribing to our bi-monthly email publication The AICan Bulletin. CIFAR is supported by the governments of Canada, Alberta, Ontario, and Quebec as well as international partner organizations, individuals, foundations, and corporations. Yoshua Bengio est professeur titulaire au département d’informatique et recherche opérationnelle de l’université de Montréal, fondateur et directeur scientifique de Mila et d’IVADO, Fellow de la Société Royale de Londres et de la Société Royale du Canada, il a reçu le prix Turing 2018 pour ses travaux de pionniers de l’apprentissage profond, a reçu une chaire du Canada et une chaire CIFAR en IA, est un officier de l’Ordre du Canada, un membre du conseil aviseur de la fondation NeurIPS, cofondateur et membre du conseil de la conférence ICLR et directeur du programme CIFAR sur l’apprentissage automatique et biologique. “Deep Learning”. In: NIPS’2014, arXiv:1406.2661. Block user. Et s’est très vite mis à se passionner pour les sciences. Yoshua Bengio was Program Chair for NIPS’2008 and General Chair for NIPS’2009 (NIPS is the flagship conference in the areas of learning algorithms and neural computation). His research objective is to understand the mathematical and computational principles that give rise to intelligence through learning. LeCun, Y., Y. Bengio, and G. Hinton. Relations avec les médias 436–444. Aidez-nous à améliorer nos pages Auteur en mettant à jour votre bibliographie et en envoyant une photo et une biographie nouvelles ou à jour. Montréal (QC) H2S 3H1 CANADA. High energy: Facebook's AI guru LeCun imagines AI's next frontier. Action Editor of the Journal of Machine Learning Research and of the Neural Computation journal, Canada Research Chair in Statistical Learning Algorithms Bahdanau, D., K. Cho, and Y. Bengio. “Generalized Denoising Auto-Encoders as Generative Models”. Title. Sort. Since 1993, he has been a professor in the Department of Computer Science and Operational Research at the Université de Montréal. 153–160. In: NIPS’2014, arXiv:1406.2572. In: NIPS’2006. MIT Press. Professeur titulaire, Département d’informatique et de recherche opérationnelle, Université de Montréal. Below is the table of contents for the presentation. CIFAR is a Canadian-based global research organization that convenes extraordinary minds to address the most important questions facing science and humanity. In: NIPS’2014, arXiv:1402.1869. 86, 1998, pp. In: IEEE Transactions on Neural Networks 5.2, pp. LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton (2015). "Neural machine translation by jointly learning to align and translate.” ICLR, 2015. arXiv:1409.0473. 661 University Ave., [6] [7] [8] Bengio anses tillsammans med Geoffrey Hinton och Yann LeCun vara pionjär inom djupinlärning. Since 1999, he has been co-organizing the Learning Workshop with Yann Le Cun, with whom he has also created the International Conference on Representation Learning (ICLR). a b Depuis 1993, il est professeur au Département d’informatique et de recherche opérationnelle de l’Université de Montréal. How to say Yoshua Bengio in English? “Learning a Synaptic Learning Rule”. 1–127. Il est le fondateur et le directeur de l’Institut des algorithmes d’apprentissage de Montréal à l’Université de Montréal. This file contains additional information, probably added from the digital camera or scanner used to create or digitize it. “Modeling High-Dimensional Discrete Data with Multi-Layer Neural Networks”. Il a commencé ses études à Montréal où il obtient son doctorat en informatique de l’Université McGill, puis a effectué des études postdoctorales au Massachusetts Institute of Technology (MIT). Ian J. Goodfellow (born 1985 or 1986) is a researcher working in machine learning, currently employed at Apple Inc. as its director of machine learning in the Special Projects Group. Genealogy profile for Yoshua Bengio Yoshua Bengio (1899 - 1975) - Genealogy Genealogy for Yoshua Bengio (1899 - 1975) family tree on Geni, with over 200 million profiles of ancestors and living relatives. In: Foundations and Trends in Machine Learning 2.1, pp. “Learning deep architectures for AI”. It looks like we don't have any Biography for Yoshua Bengio yet.. Be the first to contribute! Bengio, Yoshua (2009). Yoshua Bengio, Li Yao, Guillaume Alain, and Pascal Vincent (2013). His current interests include fundamental questions on deep learning, the geometry of generalization in high-dimensional spaces, biologically inspired learning algorithms, and challenging … Block user Report abuse. “A Neural Probabilistic Language Model”. He is a Professor at the University of Montreal, scientific director of Mila (the Montreal Institute for Learning Algorithms), and co-founder of Element AI, a company that delivers software products for practical business applications of AI. Bahdanau, Dzmitry, Kyunghyun Cho, and Yoshua Bengio (2015). Yoshua Bengio FRS OC FRSC (born 1964 in Paris, France) is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. Quand Yoshua Bengio est arrivé au Québec, lui, il avait 12 ans, adorait la science-fiction, les robots. Goodfellow, I.J., Y. Bengio, and A. Courville. C’est leur père, qui était biologiste, qui les a poussés, son frère Samy et lui, à faire de la science. Goodfellow, Ian J., Yoshua Bengio, and Aaron Courville (2016). 2278– 2324. “Ex-tracting and Composing Robust Features with Denoising Autoencoders”. Scientific Director at IVADO, a full professor in the Department of Computer Science and Operations Research (DIRO) at Université de Montréal, the director of the Montréal Institute for Learning Algorithms (MILA) and Canada Research Chair in Statistical Learning Algorithms, … In: Nature 521.7553, pp. Montufar, Guido F., Razvan Pascanu, KyungHyun Cho, and Yoshua Bengio (2014). Yoshua Bengio is the world-leading expert on deep learning and author of the bestselling book on that topic. He has contributed to a wide spectrum of machine learning areas and is well known for his theoretical results […] Yoshua Bengio, född 1964 i Paris i Frankrike, är en kanadensisk datavetare, mest känd för sitt arbete med artificiellt neuronnät och djupinlärning. Stay updated with our news, events, conferences and workshops and latest discoveries around the world. Sort by citations Sort by year Sort by title. 7553 (2015): 436–44. Bengio, Y., Delalleau, O., Le Roux, N. (2005) “The Curse of Highly Variable Functions for Local Kernel Machines”. vincent.martineau@mila.quebec, Mila – Institut québécois d’intelligence artificielle “Gradient-Based Learning Applied to Document Recognition”. Pronunciation of Yoshua Bengio with 1 audio pronunciation and more for Yoshua Bengio. Préoccupé par les impacts sociaux de cette nouvelle technologie, il a contribué activement à l’élaboration de la Déclaration de Montréal pour un développement responsable de l’intelligence artificielle. Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence and a pioneer in deep learning. “On the Number of Linear Regions of Deep Neural Networks”. Dauphin, Yann, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli, and Yoshua Bengio (2014). “Understanding the difficulty of training deep feedforward neural networks”. Seattle, WA, II–A969. LeCun, Y., L. Bottou, Y. Bengio, and P. Haffner. Yoshua Bengio, an A.I. LeCun, Yann, Leon Bottou, Yoshua Bengio, and Patrick Haffner (1998). In: International Joint Conference on Neural Networks (IJCNN). Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Jauvin (2003). Pascanu, Razvan, Guido Montufar, and Yoshua Bengio (2014). THE BENGIO BROTHERS. Goodfellow, I.J., Y. Bengio, and A. Courville. In: International Conference on Learning Representations 2014 (Conference Track),arXiv:1305.6663. He was previously employed as a research scientist at Google Brain.He has made several contributions to the field of deep learning. Yoshua Bengio, a Canadian computer scientist who helped pioneer the techniques underpinning much of the current excitement around artificial intelligence, is … Foundations and Trends in Machine Learning 2.1, The Curse of Highly Variable Functions for Local Kernel Machines, International Joint Conference on Neural Networks, La science et l’innovation en temps de pandémie, Dépistage pair à pair de la COVID-19 basé sur l’IA, Il est temps de repenser le processus de publication en apprentissage automatique. En 2019 il reçoit le Prix Killam, le IEEE CIS Neural Networks Pioneer Award, ainsi que le Prix ACM A.M. Turing, « le Nobel de l’informatique », conjointement avec Geoffrey Hinton et Yann LeCun pour leurs avancées en fondements conceptuels et en ingénierie qui ont fait des réseaux neuronaux profonds une composante essentielle de l’informatique. In: AISTATS’2011. 157– 166. For a presentation assignment, I would like to introduce "Yoshua Bengio", who is one of the gurus in Computer Science. M5G 1M1 MaRS Centre, West Tower ACM, pp. Year; Yoshua Bengio travaille en informatique, plus particulièrement en intelligence artificielle (apprentissage automatique). Yoshua Bengio. “Written by … Bengio, Yoshua, Samy Bengio, Jocelyn Cloutier, and Jan Gecsei (1991). Fondateur et directeur scientifique de Mila. “Learning Long-Term Dependencies with Gradient Descent is Difficult”. Glorot, Xavier and Yoshua Bengio (2010). In: Journal of Machine Learning Research 3, pp. Goodfellow, Ian J., Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio (2014). En 2018, on lui remet la médaille du 50e anniversaire du Ministère des Relations internationales et de la Francophonie du Québec ainsi que le Prix d’excellence pour l’ensemble des réalisations de l’association pour l’intelligence artificielle au Canada. "Deep learning. Verified email at umontreal.ca - Homepage. MIT Press, pp. An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Neural Machine Translation by Jointly Learning to Align and Translate”. Bengio has shared his research in more than 200 published journals and reports and most recently began imparting his AI knowledge to entrepreneurs in the start-up factory he co-founded, Element AI . Bengio, Yoshua, Jerome Louradour, Ronan Collobert, and Jason Weston (2009). Yoshua Bengio: Yoshua Bengio: Date personale; Născut: 5 martie 1964 (56 de ani) Paris, Franța: Cetățenie: Canada: Ocupație: profesor[*] informatician cercetător al inteligenței artificiale[*] [10]Referenser Noter. Yoshua Bengio OC (born 1964 in France) is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. "Neural machine translation by jointly learning to align and translate.”, Earth 4D: Subsurface Science & Exploration, Innovation, Equity & The Future of Prosperity, CIFAR Azrieli Global Scholars - Social Media Toolkit, Pan-Canadian Artificial Intelligence Strategy, Read the latest issue of the AICan Bulletin. But when the Université de Montréal computer science professor learned that the biggest computing organization in the world had named him a winner of the $1-million A.M. Turing Award, he was stunned. “Deep Sparse Rectifier Neural Networks”. Nature 521, no. 1096–1103. by Ian Goodfellow , Yoshua Bengio , Aaron Courville ( 1,079 ) $50.99. Deep Learning. julie.mongeau@mila.quebec, Vincent Martineau Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Describes the pathbreaking use of convolutional neural networks to handwriting by a Bell Labs group led by Bengio’s co-awardee Yann LeCun. pioneer who won the 2018 A.M. Turing Award with two others, supports a proposed ban of robots that could use A.I. Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol (2008). 400–406. En 2018, Yoshua Bengio est l’informaticien qui recueille le plus grand nombre de nouvelles citations au monde, grâce à ses 3 ouvrages de référence et à ses quelque 500 publications. En 2016 il devient directeur scientifique d’IVADO et coprésident du Conseil consultatif du Canada en matière d’intelligence artificielle en 2019. Deep Learning. “Generative Adversarial Networks”. 6666, rue St-Urbain, bureau 200 Bengio, Y., P. Simard, and P. Frasconi (1994). Biography. Parallèlement, il fonde et assure la direction scientifique de Mila — l’Institut québecois d’intelligence artificielle — le plus important groupe universitaire de recherche en apprentissage profond au monde. Thanks. ACM A.M. Turing Award. T: 416.971.4251, Department of Computer Science and Operations Research and Institut des algorithmes d’apprentissage de Montréal, PhD (Computer Science), McGill University. by S.A. Solla, T.K. Leen, and K-R. Müller. En 2018, Yoshua Bengio est l’informaticien qui recueille le plus grand nombre de nouvelles citations au monde, grâce à ses nombreuses publications. 1 1 1 1. In: ICML’09, 2009_curriculum_icml. Cited by. Since 1993, he has been a professor in the Department of Computer Science and Operational Research at the Université de Montréal . Articles Cited by Co-authors. Professeur titulaire, Département d’informatique et de recherche opérationnelle, Université de Montréal. Reconnu comme l’un des plus grands experts mondiaux en intelligence artificielle, Yoshua Bengio est en outre un pionnier de l’apprentissage profond. Son objectif est de contribuer à mettre à jour les principes menant à l’intelligence à travers l’apprentissage, et aussi favoriser le développement de l’intelligence artificielle pour le bénéfice de tous. Yoshua Bengio works in computer science, specifically artificial intelligence (machine learning). Software used: Yoshua Bengio is no stranger to accolades. Professor of computer science, University of Montreal, Mila, IVADO, CIFAR. Block or report user Block or report yoshua. Just click the "Edit page" button at the bottom of the page or learn more in the Biography submission guide. Learn more about blocking users. Ed. His parents had rejected their traditional Moroccan Jewish upbringings to embrace the 1960s counterculture’s focus on personal freedom and social solidarity. What many people don't know is how intertwined Yoshua’s career has been with that of his brother, Samy, a machine learning scientist at Google Brain. Lauréat du prix Killam en sciences naturelles 2019. En savoir plus sur la Plate-forme Auteurs. Turing Award recipient and McGill alumnus Yoshua Bengio, best known for his seminal work on artificial intelligence (AI), is the latest recipient of the Killam Prize, a $100,000 award given to outstanding scholars.Bengio is the founder of the Montreal Institute for Learning Algorithms (Mila), a world-renowned AI research institute.. Cambridge, MA: MIT Press, 2016. Autre exemple, en télécommunications : ses travaux permettent d'effectuer des analyses de clientèle chez Bell dans le but de diminuer les coûts de marketing. In: Advances in Neural Information Processing Systems 12 (NIPS’99). Yoshua Bengio was born to two college students in Paris, France. Ed. [9]Han vann tillsammans med Hinton och LeCun Turingpriset 2018. University of Montreal professor Yoshua Bengio is well known for his groundbreaking work in artificial intelligence, most specifically for his discoveries in deep learning. ", Bahdanau, D., K. Cho, and Y. Bengio. NIPS’2005. Cited by. Prevent this user from interacting with your repositories and sending you notifications. Yoshua Bengio est reconnu comme l’un des plus grands experts mondiaux en matière d’intelligence artificielle et comme un pionnier de l’apprentissage profond. In: NIPS’2013, arXiv:1305.6663. Bengio, Yoshua, Pascal Lamblin, Dan Popovici, and Hugo Larochelle (2007). He is the founder and director of the Institut des algorithmes d’apprentissage de Montréal at Université de Montréal. Yoshua Bengio yoshua. MIT Press, pp. En 2000, Yoshua Bengio devient titulaire de la Chaire de recherche du Canada sur les algorithmes d’apprentissage statistique. Suite 505 , Toronto, ON He is a professor at the Department of Computer Science and Operations Research at the Université de Montréal and scientific director of the Montreal Institute for Learning Algorithms (MILA). Glorot, X., A. Bordes, and Y. Bengio (2011). Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence and a pioneer in deep learning.