±«ÓćÖ±²„

Can combining deep learning (DL)ā€” a subfield of artificial intelligenceā€” 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 ±«ÓćÖ±²„ researchers has brought these tools to the forefront in an effort to understand and manage extreme weather events.

Classified as: Renee Sieber, Department of Geography, extreme weather, social media, Artificial intelligence
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Published on: 18 Jan 2021

For human beings, the ability to generalize ā€“ to extract broad principles from our experiences of the world and use these principles to help us make decisions in new situations ā€“ is an essential skill for navigating everyday life. But for those working in the field of artificial intelligence, getting machines to generalize in this way has been a notoriously difficult challenge.

Classified as: Artificial intelligence, reinforcement learning
Published on: 15 Jul 2020

February 14, 2020 |Rapid advances in facial-recognition technology have the potential for vast social consequences. In response to the scale and speed of these developments and the clear potential for harm, a movement has emerged to ban facial recognition. In this op-ed, Max Bell School professor Taylor Owen and Nasma Ahmed call for the need to move ahead with caution and deliberation, highlighting the urgency for regulatory frameworks.

Classified as: max bell school, max bell school of public policy, taylor owen, Artificial intelligence, digital democracy
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Published on: 20 Feb 2020

The power of artificial intelligence (AI) in medicine lies in its ability to find important statistical patterns in large datasets. A study published today is an important proof of concept for how AI can help doctors and brain tumour patients make better treatment decisions.

Classified as: Artificial intelligence, brain tumour, Jeremy Moreau, Meningioma, Sylvain Baillet
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Published on: 7 Feb 2020

Open source app helps predict brain tumour malignancy and patient survival

The power of artificial intelligence (AI) in medicine lies in its ability to find important statistical patterns in large datasets. A study published today is an important proof of concept for how AI can help doctors and brain tumour patients make better treatment decisions.

Classified as: Meningioma, brain tumour, Artificial intelligence, Sylvain Baillet, Jeremy Moreau, Neuro
Published on: 30 Jan 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 patientā€™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.

Classified as: Alzheimer's disease, Huntington's disease, genetics, Artificial intelligence, AI, Gene Expression, neurodegenerative diseases, Yasser Iturria-Medina, Ludmer Centre, Neuro
Published on: 28 Jan 2020

Congratulations to ProfessorsĀ Tal ArbelĢż²¹²Ō»åĢż Christophe Dubach who has just been named as two of the outstanding researchers to join theĀ 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" (

Classified as: Artificial intelligence, AI, Arbel, Colombino, ECE, CIFAR
Published on: 11 Dec 2019

CIFAR today announced its newest cohort of Canada CIFAR AI Chairs, which includes nine researchers from ±«ÓćÖ±²„, bringing the total number of ±«ÓćÖ±²„ researchers named to the program to 17. These top academic researchers are part of the $125 million Pan-Canadian AI Strategy, the worldā€™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.

Classified as: Research and Innovation, CIFAR, Azrieli Canadian Institute for Advanced Research (CIFAR), AI, Artificial intelligence
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Published on: 9 Dec 2019

Music, including songs with words, appears to be a universal phenomenon according to a paper published this week in Science. An international team of researchers involving musicians, data scientists, psychologists, political scientists and linguists, including one from ±«ÓćÖ±²„, reached this conclusion after five years of collaboration, bringing together a broad range of skills and tools to the question of whether music is universal.

Using broad datasets to arrive at deep conclusions about music

Classified as: Research, Artificial intelligence, music, song, Department of Linguistics, science, NSERC, frqs
Published on: 21 Nov 2019

ECE Professor Tal Arbel recently presented research at the ā€œAI and the Future of Cancer Researchā€ (From the Goodman Cancer Research Centreā€™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.

Classified as: ECE, Tal Arbel, Artificial intelligence, AI, machine learning, ML, cancer research, computer vision, MS
Published on: 13 Nov 2019

AI and virtual reality can determine neurosurgeon expertise with 90% accuracy

Machine learning-guided virtual reality simulators can help neurosurgeons develop the skills they need before they step in the operating room, according to a new study.

Classified as: MNI, rolando del maestro, neurosurgical stimulation, Artificial intelligence, Montreal Neurological Institute and Hospital (The Neuro), National Research Council of Canada, NeuroVR
Published on: 2 Aug 2019

Mila ā€“ 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.

Classified as: mila, AI, Artificial intelligence, mcgill research
Published on: 30 Jan 2019

The Canadian Institute for Advanced Research (CIFAR)Ā today announced the inaugural cohort ofĀ 29Ā Canada CIFAR AI (CCAI) Chairs, including six from ±«ÓćÖ±²„. These top academicĀ researchersā€”including DoinaĀ PrecupĢż²¹²Ō»åĢżJoĆ«lleā€Æ Pineauā€”are named as part of the $125 million Pan-Canadian AI Strategy, and will helpĀ maintain Canadaā€™s leadership in artificial intelligence research.Ā The CCAI Chair Program represents an investment of $30 million atĀ nineĀ universities across the country.Ā Ā 

Classified as: CIFAR, Azrieli Canadian Institute for Advanced Research (CIFAR), Artificial intelligence
Published on: 3 Dec 2018

By Meaghan Thurston

For Joelle Pineau, becoming a medical doctor wasā€”in her wordsā€”not in the cards. However, this Associate Professor from ±«ÓćÖ±²„`s School of Computer Science is now the driving force behind promising research whose aim is to use AI to improve the treatment of cancer and heart disease.

Classified as: Natural Sciences and Engineering Research Council of Canada (NSERC), Artificial intelligence, Research, School of Computer Science, personalized medicine, Genome
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Published on: 1 May 2018

At the AAAI meeting, Peter Henderson, a computer scientist at ±«ÓćÖ±²„ in Montreal, showed that the performance of AIs designed to learn by trial and error is highly sensitive not only to the exact code used, but also to the random numbers generated to kick off training, and to ā€œhyperparametersā€ā€”settings that are not core to the algorithm but that affect how quickly it learns.

Classified as: Artificial intelligence, Peter Henderson
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Published on: 19 Feb 2018

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