From neuroscience to neural nets: Canadian researchers on the vanguard of AI
Montreal AI 'star' explains progress and perils of deep-learning research


This story was originally published on April 19, 2019.
Canada has become a world leader in artificial intelligence research, especially in the development of artificial neural networks. These are computer systems that use a series of connected machine learning algorithms, similar to how neurons work in the human brain.
There is major AI research being done in Edmonton at the University of Alberta, at the University of Toronto, where Geoffrey Hinton teaches, and at the Université de Montreal, where its AI research is led by Yoshua Bengio.
This year, Bengio and Hinton, along with New York University professor Yann LeCun, were awarded the Turing Award, which some call "the Nobel Prize of computing".
While in Toronto for a conference on AI ethics, Bengio spoke to Spark host Nora Young about the progress of AI research, its roots in neuroscience, and the dangers of letting the tech develop unchecked.
Comments
To encourage thoughtful and respectful conversations, first and last names will appear with each submission to CBC/Radio-Canada's online communities (except in children and youth-oriented communities). Pseudonyms will no longer be permitted.
By submitting a comment, you accept that CBC has the right to reproduce and publish that comment in whole or in part, in any manner CBC chooses. Please note that CBC does not endorse the opinions expressed in comments. Comments on this story are moderated according to our Submission Guidelines. Comments are welcome while open. We reserve the right to close comments at any time.
Become a CBC Member
Join the conversation Create account
Already have an account?