Data analytics &
artificial intelligence news

Data analytics and artificial intelligence programs and research at U of T Engineering is reshaping processes to improve lives and generate value for people around the world.

A precision flight-control test in wind with a hexacopter drone from Professor Steven Waslander‘s (UTIAS)  lab. Waslander will use the funding to acquire the latest in motion-capture technology in order to develop next-generation drones. (Photo courtesy of Steven Waslander)

Five U of T Engineering projects receive funding boost for state-of-the-art research tools

Motion-capture equipment to explore and develop robust autonomous drones is among five infrastructure projects receiving funding support

A crowd spills along Bloor street after a transit disruption in November 2009. U of T Engineering research have designed an algorithm that they say can more efficiently dispatch buses to deal with downed subway lines. (Photo: Sweetsop, via Flickr)

Is there a better way for transit systems to deal with service disruptions?

U of T Engineering research aims to optimize the deployment of shuttle buses to replace downed rail service

“The talent gap isn’t closing,” says U of T Engineering alumna Kimberly Ren (EngSci 2T0), who led the first study to quantitatively establish predictors for women pursuing ML/AI careers. (Photo courtesy of Kimberly Ren)

What’s contributing to the striking gender gap in the AI field? U of T Engineering study takes a closer look

Gender discrimination from teaching staff found to have significant impact on female students’ decisions to pursue ML/AI careers, with discrimination from peers more prevalent for women than men

Severo is among 11 U of T Engineering recipients of the Vector Institute Scholarships in Artificial Intelligence. (Photo courtesy of Daniel Severo)

Eleven U of T Engineering grad students receive Vector Institute Scholarships in AI

Students pursuing research in artificial intelligence will get access to networking opportunities and professional development workshops at the institute

Professor Timothy Chan (MIE) is collaborating with the University Health Network to launch Redeploy, an optimization tool to improve hospital staffing during the pandemic. (Photo: Pam Walls)

U of T Engineering team develops redeployment tool to optimize hospital staffing amid COVID-19

Team hopes pilot test leads to integration in hospital pandemic planning, future use in care homes

Professor Dionne Aleman’s (MIE) research uses agent-based data to simulate a pandemic outbreak in urban areas. (Photo: Clay Banks / Unsplash)

COVID-19 and the ‘what if machine’: How simulations and models help predict pandemic spread

Professor Dionne Aleman (MIE) explains pandemic models, ‘flattening the curve,’ and how they inform emergency preparedness

Professor Scott Sanner and his team will use industry-partnered funding to develop more personalized and interactive conversational assistants by leveraging recent advances in deep learning. (Credit: Pam Walls)

Google recognizes machine learning and computer systems experts with Faculty Research Award

U of T Engineering professors Scott Sanner (MIE) and Vaughn Betz (ECE) are developing next-gen tools for conversational assistants, and the production of more powerful computer chips

Autonomous vehicles like this one use a combination of video cameras and lidar to detect nearby objects. A new dataset will enable engineers to test and refine new algorithms that can overcome the perception challenges posed by snowy weather. (Image courtesy Steven Waslander)

Can self-driving cars handle a Canadian winter? We’re about to find out

New dataset released by researchers from U of T Engineering and the University of Waterloo enables autonomous vehicle designers to test advances in perception under winter driving conditions

Biometrics pioneer and alumnus, Karl Martin (EngSci 0T1, ECE MASc 0T3, PhD 1T0), answers frequently asked questions on data privacy. (Photo courtesy of Unsplash)

Jan 28 is Data Privacy Day: What you need to know about biometric data and how to keep yours safe

U of T Engineering alumnus Karl Martin discusses the security implications of giving out fingerprint and facial data