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Vector Institute

Vector Institute

Eight U of T artificial intelligence researchers named CIFAR AI Chairs

December 09, 2019

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 impact.

U of T, Vector Institute create new deep learning faculty positions in honour of Geoffrey Hinton

October 16, 2019

The University of Toronto is creating three new tenure-stream faculty positions in deep learning, a sub-discipline of artificial intelligence (AI), in recognition of University Professor Emeritus Geoffrey Hinton winning the prestigious A.M.

U of T, Vector Institute woo rising stars in machine learning field

October 15, 2019

The University of Toronto and the affiliated Vector Institute for Artificial Intelligence have announced the recruitment of two rising stars in machine learning research as part of a continued drive to assemble the best AI talent in the world.

BMO Financial Group's $5-million gift will fund exploration of the creative potential of AI

October 07, 2019

With its largest-ever gift to a single Canadian institution, BMO Financial Group is investing $5 million to explore the potential of artificial intelligence and other revolutionary technologies in a novel way.

U of T's Raquel Urtasun hails Toronto's AI scene in Global News profile

October 01, 2019

She was drawn to Toronto by the University of Toronto’s reputation for artificial intelligence (AI) research, and Raquel Urtasun believes the best is yet to come.

Geoffrey Hinton, pioneer in deep learning, wins 2019 Honda Prize

September 20, 2019

Geoffrey Hinton, University Professor Emeritus at the University of Toronto, Chief Scientific Adviser at the Vector Institute, and a Vice President and Engineering Fellow at Google, has been awarded the distinguished 2019 Honda P

U of T researchers create 'roadmap' for responsible AI development in health care

August 22, 2019

In the first published guidelines for responsible machine learning in health care, experts from around the world — including faculty at the University of Toronto and the Vector Institute for Artificial Intelligence — are calling for an interdisciplinary approach.

Gillian Hadfield appointed inaugural director of U of T’s Schwartz Reisman Institute for Technology and Society and Schwartz Reisman Chair in Technology and Society

July 29, 2019

Facial recognition technology. Algorithms that decide who is a good candidate for a loan or medical procedure. Interactive robots in workplaces and seniors’ homes.

Illustration of AI researcher with a robot in the shape of a question mark

Can we eliminate bias in AI? How Canada's commitment to multiculturalism could help it become a world leader

July 25, 2019

In human beings, intelligence is no inoculation against bias and bigotry. The same holds true for computers. Intelligent machines learn about the world through the filters of human language and historical behaviour – meaning they can just as easily absorb humanity’s worst values as they can its best.

Jonathan Kelly, Marzyeh Ghassemi and Vincent Kuuire

From AI to immigrant integration: 56 U of T researchers supported by Canada Research Chairs Program

June 14, 2019

Survey after survey show doctors face burnout from heavy workloads. But what if they could use a machine learning algorithm to shoulder some of the burden?

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