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Artificial Intelligence

Artificial Intelligence is changing the way we work and live. UdeM researchers actively participate in the advancement of artificial intelligence research. The revolutionary expansion in AI, in the past five years, is twinned to the exponential growth of research advancements in Machine Learning, which provides computers with the ability to learn without being explicitly programmed for this purpose. Machine Learning has made leaps and bounds because of major fundamental inroads in Deep Learning. The Montréal Institute for Learning Algorithms (MILA), a powerhouse of world-class Machine Learning and Deep Learning researchers, and the Institute for data Valorisation (IVADO), a scientific and economic data science hub, directly contribute in making Montréal a world-renowned center in Artificial Intelligence.

Researcher Portrait


Yoshua Bengio

Yoshua Bengio, Full Professor, Faculty of Arts and Science - Université de Montréal, Department of Computer Science and Operations Research Yoshua Bengio is a Canadian researcher, head of the Montreal Institute for Learning Algorithms (MILA), CIFAR Program co-director of the CIFAR Learning in Machines and Brains program (formerly Neural Computation and Adaptive Perception), and Canada Research Chair in Statistical Learning Algorithms.

His main research ambition is to understand principles of learning that yield intelligence. He teaches a graduate course in Machine Learning (IFT6266) and supervises a large group of graduate students and post-docs. His research is widely cited (over 40000 citations found by Google Scholar in June 2016, with an H-index over 80, and rising fast).

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Pascal Vincent

Pascal Vincent, Associate Professor, Faculty of Arts and Science - Université de Montréal, Department of Computer Science and Operations Research The research interests of Pascal Vincent, centered around discovering fundamental computational principles that
underlie the extraordinary capabilities to learn from the environment, understand it and adapt to it that characterize intelligence.

The development of novel machine learning algorithms based on such principles, and trained on very large data sets, is at the heart of the latest technological breakthroughs in artificial intelligence.

More specifically, Pascal Vincent research how higher level representations that carry meaning can be constructed autonomously, starting from streams of raw sensory input (such as images and sounds).

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Aaron Courville

Aaron Courville, Assistant Professor, Faculty of Arts and Science - Université de Montréal, Department of Computer Science and Operations Research Aaron Courville is an Assistant Professor at the LISA lab (LISA: Laboratoire d’Informatique des Systèmes Adaptatifs). Her current recent research interests focus on the development of deep learning models and methods.

He was particularly interested in developing probabilistic models and novel inference methods. While he was mainly focused on applications to computer vision,he was also interested in other domains such as natural language processing, audio signal processing, speech understanding and just about any other artificial-intelligence-related task.

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Simon Lacoste-Julien

Simon Lacoste-Julien, Assistant Professor, Faculty of Arts and Science - Université de Montréal, Department of Computer Science and Operations Research Simon Lacoste-Julien was an Assistant Professor at the Department of Computer Science and Operations Research at Université de Montréal. Her principal research interests was in Machine Learning, Nonlinear optimization, Structured prediction, Latent variable models, Convex optimization, Approximate inference, Combining generative and discriminative methods / frequentist and Bayesian statistics.


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News

Élargissement du milieu de l'IA
La compagnie Element AI a reçu un financement Série A de 137,5 M$ pour le développement de 250 emplois au Canada dans le domaine de l’intelligence artificielle (IA).
Quartier L!bre | June 16th, 2017

Data Philanthropy Hub Launch
IVADO and AIMIA join forces to put Big Data to work for NPOs
IVADO | June 7th, 2017

A biologically plausible technique for training a neural net
Artificial intelligence researchers have made advances in recent years by designing neural networks that are based on the structure of the human brain.
CIFAR | May 17th, 2017

L’Université de Montréal souligne le don de Druide informatique
Le million de dollars du Fonds Druide est alloué au laboratoire MILA, dirigé par Yoshua Bengio, et est destiné à la recherche en analyse de texte par apprentissage profond.
udemnouvelles| April 6th, 2017


 

For more information, see the series of articles on the revolution of artificial intelligence