From neuroscience to neural nets: Canadian researchers on the vanguard of AI

Montreal AI 'star' explains progress and perils of deep-learning research

Image | Google AI Montreal 20161121

Caption: Computer Science professor Yoshua Bengio poses at his home in Montreal, Saturday, November 19, 2016. (Graham Hughes/The Canadian Press)

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(external link), at the University of Toronto(external link), where Geoffrey Hinton(external link) teaches, and at the Université(external link) de Montreal(external link), where its AI research is led by Yoshua Bengio(external link).
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(external link) host Nora Young about the progress of AI research, its roots in neuroscience, and the dangers of letting the tech develop unchecked.

Media Video | Spark : The impact of neuroscience on AI

Caption: Computer scientist and Turing Award winner Yoshua Bengio explains how the neurosciences and cognitive sciences are helping have an impact on AI development.

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