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Funded Grants

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Learning in Machines and Brains

Project Overview

The program in Learning in Machines & Brains (formerly known as Neural Computation & Adaptive Perception) is revolutionizing the field of artificial intelligence, and creating computers that think more like us – that can recognize faces, understand what is happening in a picture or video, and comprehend the actual meaning of language. The result will be computers that are not only powerful but intelligent, and that will be able to do everything from conduct a casual conversation to extract meaning from massive databases of information.

The program is co-directed by Yoshua Bengio of the Universite de Montreal and Yann LeCun of New York University. The program helping to revolutionize the field of artificial intelligence and create computers that can think more like people ­– that can recognize faces, understand what is happening in a picture or video, and comprehend the meaning of language. Research by members of the program has helped usher in a new generation of powerful AI, and members work closely with top technology firms including Google, Facebook and Microsoft.

 

Principal Investigator

Yoshua Bengio , Université de Montréal

Team Members

Yann Lecun, Facebook AI Research

Francis Bach, Inria

Aaron Courville, Université de Montréal

Nando de Freitas, University of Oxford

James DiCarlo, Massachusetts Institute of Technology

David Fleet, University of Toronto

Brendan Frey, University of Toronto

Surya Ganguli, Stanford University

Zaid Harchaoui, Inria

Aapo Hyvarinen, University of Helsinki

Hugo Larochelle, Université de Sherbrooke

Honglak Lee, University of Michigan

Christopher Manning, Stanford University

Roland Memisevic, Université de Montréal

Andrew Ng, Stanford University

Bruno Olshausen, University of California, Berkeley

Ruslan Salakhutdinov, University of Toronto

Mark Schmidt, University of British Columbia

Eero Simoncelli, New York University

Josef Sivic, Inria

Ilya Sutskever, OpenAI

Richard Sutton, University of Alberta

Antonio Torralba, Massachusetts Institute of Technology

Pascal Vincent, Université de Montréal

Yair Weiss, The Hebrew University of Jerusalem

Max Welling, University of Amsterdam

Christopher Williams, The University of Edinburgh

Richard Zemel, University of Toronto

Partners and Donors

CIFAR

Project Ongoing

Learning in Machines and Brains

  • Program Type

    Capacity building grants

  • Area of research

    Neurotechnology

  • Disease Area

    Other

  • Competition

    BC-CIFAR Partnered Initiative

  • Province

    Québec

  • Start Date

    2014

  • Total Grant Amount

    $6,482,885

  • Health Canada Contribution

    $3,241,443

Contact Us

1200 McGill College Avenue
Suite 1600, Montreal, Quebec
H3B 4G7

+1 (514) 989-2989 info@braincanada.ca

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