Professor David Ifeoluwa Adelani (School of Computer Science) is McGill’s newest Chair, as Professors Joelle Pineau and Reihaneh Rabbany have their appointments renewed
Published on: 13 Feb 2024
New paper argues that Large Language Models can reveal breakthroughs humans alone cannot
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Published on: 9 Feb 2024
Protecting people from their personal information being used against them is more important every day as our lives become increasingly interconnected through data-driven products and services. In his new book, Ignacio Cofone challenges us to reevaluate conventional wisdom about data, showing how many of the rules that govern the information economy are outdated in today’s social and economic reality.
Here is an expert from McGill University who can provide comment on this topic:
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Published on: 11 Dec 2023
Machine learning tutors affect learners in unforeseen ways, both positive and negative
Virtual reality simulators can help learners improve their technical skills faster and with no risk to patients. In the field of neurosurgery, they allow medical students to practice complex operations before using a scalpel on a real patient. When combined with artificial intelligence, these tutoring systems can offer tailored feedback like a human instructor, identifying areas where the students need to improve and making suggestions on how to achieve expert performance.
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Published on: 19 Sep 2023
McGill University and the Université du Québec à Montréal (UQAM) announced today the creation of the Research and Innovation Chair in Animal Welfare and Artificial Intelligence (WELL-E). The five-year, $5 million Chair will carry out a major research project funded by a grant from NSERC Alliance and PROMPT, fiduciary of the Ministry of Economy, Innovation and Energy. Important contributions have also been made by industrial partners Novalait, Dairy Farmers of Canada (DFC), Dairy Farmers of Ontario (DFO), Les Producteurs de Lait du Québec (PLQ), and Lactanet.
Published on: 19 Apr 2023
Two seminal studies from McGill University, investigating immune landscapes of lung and brain tumours, were published today in Nature. This work was led by Logan Walsh, Daniela Quail and Peter Siegel, researchers at the Rosalind and Morris Goodman Cancer Institute and Philippe Joubert from Université Laval. The studies used innovative highly multiplexed imaging to create sophisticated immune atlases of lung and brain tumours and demonstrate how big data and artificial intelligence are the future of cancer research and clinical care.
Published on: 2 Feb 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
Sampling seawater just below the surface of a seagrass bed in Quatsino Sound, British Columbia. Credit: Mike McDermid
What can a bottle of seawater tell you about the fish living below?
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Published on: 21 Oct 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
Machine learning algorithms enhanced technical performance and learning outcomes during simulated brain tumor removal
The COVID-19 pandemic has presented both challenges and opportunities for medical training. Remote learning technology has become increasingly important in several fields. A new study finds that in a remote environment, an artificial intelligence (AI) tutoring system can outperform expert human instructors.
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Published on: 22 Feb 2022
Danilo Bzdok, a researcher at The Neuro, McGill’s Department of Biomedical Engineering and the Quebec Artificial Intelligence Institute, uses machine learning to identify patterns in human neurological and psychological data. One of his team’s recent studies analyzed personality profiles, demographic status and social lifestyle from a cohort of 40,000 UK Biobank middle aged participants. Their research focused on how these factors are related to each other and to brain structure.
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Published on: 17 Aug 2021
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
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
Can combining deep learning (DL)— a subfield of artificial intelligence— with social network analysis (SNA), make social media contributions about extreme weather events a useful tool for crisis managers, first responders and government scientists? An interdisciplinary team of McGill researchers has brought these tools to the forefront in an effort to understand and manage extreme weather events.
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Published on: 18 Jan 2021
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