New portfolio takes risks, convenes extraordinary minds to address science and humanity's most important questions. TORONTO, April 8, 2019 /CNW/ - Top scientists and scholars from around the world ...
Deep learning, the core technique driving AI advancements today, can trace its roots to research labs at the University of Toronto and the University of Montreal. Research developed by Geoffrey Hinton ...
CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research explains how to get the raw source CIFAR-10 data, ...
Did you know that over the last decade, the federal government has committed over half a billion dollars to a national AI strategy? I’m not sure how many BetaKit readers are familiar with the ...
The Canadian Institute for Advanced Research (CIFAR) continues to add and renew AI chairs as part of the second phase of the Pan-Canadian Artificial Intelligence (AI) Strategy. CIFAR named eight new ...
CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research shows how to create a PyTorch image classification ...
Eight University of Toronto artificial intelligence researchers – four of whom are women – have been named CIFAR AI Chairs, a recognition of pioneering work in areas that could have global societal ...
The audio version of this article is generated by AI-based technology. Mispronunciations can occur. We are working with our partners to continually review and improve the results. A crowd gathered in ...
The Nature Index tracks primary research articles from 145 natural-science and health-science journals, chosen based on reputation by an independent group of researchers. The Nature Index provides ...
Assistant Professor of Physics Qiong Ma has been named a CIFAR Azrieli Global Scholar for 2022-2024, an honor that makes her a member of the organization’s 40 th anniversary class of 18 early-career ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results