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.

Swift Skin and Wound, a wound care management software created by Swift Medical, helps health care providers quickly and accurately track the progression of chronic wounds and the effectiveness of their treatment. (Courtesy: Swift Medical)

This alumni startup uses AI to visualize wound healing

U of T Engineering alumnus Carlo Perez is the founder and CEO of Swift Medical, a company that turns any smartphone into a medical tool for wound care management

“Human movement and behaviour are unpredictable, so we are seeing if robots can adapt and react to that,” says Professor Goldie Nejat (MIE).

Professor Goldie Nejat on AI’s impact on health care

“Human movement and behaviour are unpredictable, so we are seeing if robots can adapt and react to that,” says Professor Goldie Nejat (MIE)

Kristen Facciol (EngSci0T9) in the Mission Control Centre of NASA’s Johnson Space Center. Facciol has become the 14th Canadian to earn a CSA/NASA Robotics Flight Controller Certficiation. (Courtesy: Kristen Facciol/NASA)

‘Completely surreal’: Kristen Facciol earns CSA/NASA Robotics Flight Controller Certification

Alumna becomes 14th Canadian — and fifth U of T Engineering graduate — to earn elite designation to control space robotics missions

Professor Jason Anderson is among eight U of T Engineering researchers named to the 2018 cohort at the Vector Institute. (Credit: Jessica MacInnis)

Eight U of T Engineering researchers named Vector Institute Faculty Affiliates

The Vector Institute brings together leading researchers in deep learning, machine learning and artificial intelligence (AI) generally, from across Ontario

Pepper the robot, built by SoftBank Robotics, is the newest addition to U of T Engineering’s Autonomous Systems and Biomechatronics Lab led by Professor Goldie Nejat (MIE). Pepper is the first humanoid robot capable of recognizing and adapting to human emotions, one of the many new applications for machine intelligence. (Credit: Liz Do)

U of T Engineering to host inaugural alumni bootcamp on machine intelligence

Engineering Science offers one-day crash course led by experts in the field

Nazli Kaya (MIE MASc candidate) wears the eye-tracking device used to accurately assess where drivers were looking when turning at intersections. (Credit: Laura Pedersen)

More than half of drivers don’t look for cyclists when turning right, reveals U of T Engineering study

Researchers tracked drivers’ eye movements to examine how attention is divided during turning, revealing that many fail to shoulder check — especially those who frequently drive downtown

Aaron Babier (MIE PhD candidate) demonstrates his AI-based software’s visualization capabilities. (Credit: Brian Tran)

Smarter cancer treatment: AI tool automates radiation therapy planning

U of T Engineering researchers develop an artificial intelligence (AI) tool to cut the time of developing radiation therapy plans down to mere hours

Mona Gridseth (left, UTIAS PhD candidate) and Keenan Burnett (EngSci 1T6+PEY, UTIAS MASc candidate) work on Zeus, a self-driving vehicle that recently took the top prize at the first competition of the three-year AutoDrive Challenge™. U of T Engineering’s new Engineering Science major in Machine Intelligence launches this September. It joins an MEng emphasis in Analytics that began January 2018. (Credit: Laura Pedersen)

U of T Engineering launches Canada’s first engineering undergraduate program in Machine Intelligence

Students will begin courses in the new major in September 2018

Veneris and team_credit Jessica MacInnis_700

U of T Engineering blockchain project receives funding injection from Connaught Fund

Multidisciplinary team unites researchers to apply blockchain technology in fields from law to finance