The FRQS Dual AI Chairs Program supports research collaborations across disciplines in pursuit of the significant potential of AI to address some of humanity’s greatest health challenges.
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Published on: 21 Sep 2023
NSERC Alliance Grant supports McGill-led Canadian team, new global climate center on AI for biodiversity change
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Published on: 18 Sep 2023
March 16, 2023 | Master of Public Policy Candidate Aftab Ahmed, wrote about the innovation Minister François-Philippe Champagne recently launching the second phase of the Pan-Canadian AI Strategy. Ottawa’s attempts to frame the ‘rules of the game’ for its digital economy is commendable, and the U.S. should be observing and emulating this approach. He said "Let me be clear: technology is not the enemy. Novel innovations can undeniably act as positive economic disruptors."
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Published on: 17 Mar 2023
AI can help identify biases in news reporting that we wouldn't otherwise see. Researchers from McGill University got a computer program to generate news coverage of COVID-19 using headlines from CBC articles as prompts. They then compared the simulated news coverage to the actual reporting at the time and found that CBC coverage was less focused on the medical emergency and more positively focused on personalities and geo-politics.
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Published on: 6 Dec 2022
Human languages are notoriously complex, and linguists have long thought it would be impossible to teach a machine how to analyze speech sounds and word structures in the way humans do. But researchers from McGill University, MIT, and Cornell University have taken a step in this direction. They have developed an artificial intelligence (AI) system that can learn the rules and patterns of human languages on its own.
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Published on: 12 Oct 2022
As the world fights climate change, will the increasingly widespread use of artificial intelligence (AI) be a help or a hindrance? In a paper published this week in Nature Climate Change, a team of experts in AI, climate change, and public policy present a framework for understanding the complex and multifaceted relationship of AI with greenhouse gas emissions, and suggest ways to better align AI with climate change goals.
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Published on: 28 Jun 2022
Artificial neural networks modeled on real brains can perform cognitive tasks
A new study shows that artificial intelligence networks based on human brain connectivity can perform cognitive tasks efficiently.
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Published on: 9 Aug 2021
How can we predict suicide risk in students, especially at a time when the COVID-19 pandemic has negatively affected many people’s mental health? According to researchers from Montreal and France, self-esteem represents an important predictive marker of suicidal risk. The team from McGill University, University of Montreal, Inserm, and Université de Bordeaux is using artificial intelligence to identify factors that accurately predict suicidal behavior in students.
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Published on: 28 Jul 2021
Comparing two neural maps reveals the roles of genes in cognition, perception and feeling
Many psychiatric disorders have genetic causes, but the exact mechanism of how genes influence higher brain function remains a mystery. A new study provides a map linking the genetic signature of functions across the human brain, a tool that may provide new targets for future treatments.
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Published on: 25 Mar 2021
By Meaghan Thurston
Canadian Institute for Advanced Research (CIFAR) program provides long-term, dedicated research funding to support and train the next generation of AI leaders.
Consider a question: “How many students took each calculus class?” A seemingly simple inquiry that soon turns complicated if you are trying to teach an artificial neural network to produce a database query based on the question – something that could be usefully applied in an academic setting.
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Published on: 19 Jan 2021
Congratulations to Professor Amin Emad of ECE and his team, who won the Omics Data Against Cancer (ODAC) competition to develop AI models to predict response to drug combinations in poor-outcome cancer patients.
You can see the full article at https://www.mcgill.ca/newsroom/channels/news/mcgill-teams-win-big-new-omics-cancer-competition-325933Published on: 27 Nov 2020
Earlier today, a Quebec based consortium of research institutes (Génome Québec, Oncopole and IVADO) announced the winners of their first-ever “Omics Data Against Cancer” competition, and McGill research teams were dominant. In fact, of the five selected teams no less than four of them included professors from McGill.
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Published on: 5 Nov 2020
New technique could be used to choose best therapies for patients and measure their effectiveness
Evaluating the effectiveness of therapies for neurodegenerative diseases is often difficult because each patient’s progression is different. A new study shows artificial intelligence (AI) analysis of blood samples can predict and explain disease progression, which could one day help doctors choose more appropriate and effective treatments for patients.
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Published on: 28 Jan 2020
Congratulations to Professors Tal Arbel and Christophe Dubach who has just been named as two of the outstanding researchers to join the prestigious CIFAR AI Program, the goal of which is to "recruit and retain in Canada some of the world's leading researchers in AI and provide them with long-term, dedicated research funding to support their research programs, and to help them train the next generation of AI leaders" (
Published on: 11 Dec 2019
CIFAR today announced its newest cohort of Canada CIFAR AI Chairs, which includes nine researchers from McGill University, bringing the total number of McGill researchers named to the program to 17. These top academic researchers are part of the $125 million Pan-Canadian AI Strategy, the world’s first national strategy of its kind. The Canada CIFAR AI Chair Program represents an investment of $30 million at nine universities, and mobilizes over 150 researchers across the country.
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Published on: 9 Dec 2019
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