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.
Congratulations to Professors Tal ArbelĚý˛ą˛Ô»ĺĚý 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" (
CIFAR today announced its newest cohort of Canada CIFAR AI Chairs, which includes nine researchers from ±«ÓăÖ±˛Ą, bringing the total number of ±«ÓăÖ±˛Ą 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.
ECE Professor Tal Arbel recently presented research at the “AI and the Future of Cancer Research” (From the Goodman Cancer Research Centre’s Public Lecture Series).
Professor Arbel spoke about Artificial Intelligence (AI) and specifically her research focus on computer vision, already showing clinical success in the fields of brain tumours and multiple sclerosis.
Professor Tal Arbel of the Department of Electrical and Computer Engineering spoke to the plenary session at the International Society for Magnetic Resonance in Medicine Conference (ISMRM 2019). Erik L. Ridley (AuntMinnie Staff writer) wrote that "In her talk ... Arbel shared her group's work in developing machine-learning techniques for medical image analysis of large clinical trial MRI datasets, specifically for patients with multiple sclerosis (MS)."
by Daniel McCabe
Congratulations to ±«ÓăÖ±˛Ą graduate Yoshua Bengio, BEng’86, MSc’88, PhD’91, on being named a co-recipient of the 2018 A.M. Turing Award. Frequently referred to as the “Nobel Prize of Computing,” the Turing Award, presented by the Association for Computing Machinery (ACM), recognizes individuals for major contributions of lasting importance to computing.Â
Mila – Quebec Institute of Artificial Intelligence officially inaugurated its new premises at the O Mile-Ex complex this week, in the presence of the Minister of Economy and Innovation for the government of Quebec, Pierre Fitzgibbon, and more than 200 partners and players in the Quebec artificial intelligence ecosystem.
A team of scientists has successfully trained a new artificial intelligence (AI) algorithm to make accurate predictions regarding cognitive decline leading to Alzheimer’s disease.
Google’s AI fest offers an ominous glimpse of the robot future: Machines fooling humans into thinking they are people raise obvious ethical concerns (source: )
[…] AI is also finding use in helping physicians detect early signs of Alzheimer’s in the brain and understand how those physical changes unfold in different people. “When a radiologist reads a scan, it’s impossible to tell whether a person will progress to Alzheimer’s disease,” says Pedro Rosa-Neto, a neurologist at ±«ÓăÖ±˛Ą in Montreal.
Thanks to the hard work and determination of James J. Clark, a professor at the ±«ÓăÖ±˛Ą Department of Electrical and Computer Engineering, and Director of its Centre for Intelligent Machines, and of Marc-AndrĂ© Gemme, a member of the Palais des congrès de MontrĂ©al’s business development team, 6,000 delegates will be converging in MontrĂ©al in October 2021 for the (ICCV).
An article for The Globe and Mail examines the emerging trend among investment firms to integrate artificial intelligence (AI) in their daily operations.
These new systems can identify various patterns and then make increasingly accurate predictions based on this information.
As this shift suggests uncertainty in the job market, Professor Sebastien Betermier comments on further implications of the rise of AI in the financial domain.
To help spur artificial-intelligence research in Montreal, Microsoft will provide a gift of $1 million to ±«ÓăÖ±˛Ą.
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