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Academic Freedom.
Computational Power.
Massive Datasets.

Curiosity-driven research dedicated to achieving
state-of-the-art in machine learning and artificial intelligence.

Dec. 4, 2018

On the Sensitivity of Adversarial Robustness to Input Data Distributions

Authors: G. Weiguang Ding , K. Lui , X. Jin, L. Wang , R. Huang

Dec. 4, 2018

Compositional Hard Negatives for Visual Semantic Embeddings via an Adversary

Authors: *A. J. Bose, *H. Ling, Y. Cao

* Denotes equal contribution

Dec. 3, 2018

Few-Shot Self Reminder to Overcome Catastrophic Forgetting

Authors: J. Wen, Y. Cao , R. Huang

Oct. 19, 2018

On Learning Wire-Length Efficient Neural Networks

Authors: C. Blake , L. Wang , G. Castiglione , C. Srinivasa , M. Brubaker

Sept. 20, 2018

Skill Reuse in Partially Observable Multiagent Environments

Authors: P. Hernandez-Leal , B. Kartal , M. Taylor

Sept. 5, 2018

Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds

Authors: K. Lui , G. W. Ding , R. Huang , R.J. McCann

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RBC Foundation supports advancing ethical AI with $1 million commitment to CIFAR

Blog

Is multiagent deep reinforcement learning the answer or the question? A brief survey

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Doors open for Borealis AI's metro-inspired Montreal research centre

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Inside the robot-inspired office of Borealis AI, with basketball hoops, chess tables and a swing room

Press

Northern Frontier: In conversation with Prof. Graham Taylor

Video

Machine Learning Reading Group: The Mechanics of n-Player Differentiable Games

Blog