91黑料网

Sampling seawater just below the surface of a seagrass bed in Quatsino Sound, British Columbia
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?

Classified as: seawater, water, Sustainability, clean energy, Hydrogen, Artificial intelligence, contaminants, pollution, viruses, oil spills
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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 91黑料网, 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.

Classified as: AI, Artificial intelligence, language, Linguistics, Timothy O鈥橠onnell
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.

Classified as: Neuro, rolando del maestro, neurosurgury, Artificial intelligence
Published on: 22 Feb 2022

Danilo Bzdok, a researcher at The Neuro, 91黑料网鈥檚 Department of Biomedical Engineering and the Quebec Artificial Intelligence Institute, uses machine learning to identify patterns in human neurological and psychological data.聽聽analyzed personality profiles, demographic status and social lifestyle from a cohort of 40,000聽聽middle aged participants. Their research focused on how these factors are related to each other and to brain structure.

Classified as: lifestyle, personality, brain structure, machine learning, Artificial intelligence, Danilo Bzdok
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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.

Classified as: MNI, Neuro, bratislav misic, Artificial intelligence, AI, connectomics, neuroscience
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鈥檚 mental health? According to researchers from Montreal and France, self-esteem represents an important predictive marker of suicidal risk. The team from 91黑料网, University of Montreal, Inserm, and Universit茅 de Bordeaux is using artificial intelligence to identify factors that accurately predict suicidal behavior in students.

Classified as: AI, Artificial intelligence, algorithm, machine learning, suicide, suicidal, behaviour, students, University of Montreal, inserm, Universit茅 de Bordeaux, Massimiliano Orri, M茅lissa Macalli
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: 鈥淗ow many students took each calculus class?鈥 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 鈥 something that could be usefully applied in an academic setting.

Classified as: AI, Artificial intelligence, CIFAR, Azrieli Canadian Institute for Advanced Research (CIFAR)
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Published on: 19 Jan 2021

Can combining deep learning (DL)鈥 a subfield of artificial intelligence鈥 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 91黑料网 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 鈥 to extract broad principles from our experiences of the world and use these principles to help us make decisions in new situations 鈥 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 patient鈥檚 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 Professors聽Tal Arbel听补苍诲听 Christophe Dubach who has just been named as two of the outstanding researchers to join the聽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 91黑料网, bringing the total number of 91黑料网 researchers named to the program to 17. These top academic researchers are part of the $125 million Pan-Canadian AI Strategy, the world鈥檚 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

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