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.

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

Professor Angela Schoellig (left, UTIAS), an autonomous robotics expert, is among 34 newly appointed CIFAR AI chairs. (Credit: Neil Ta)

Autonomous robotics expert among CIFAR’s newest research chairs in Artificial Intelligence

Appointment to boost Professor Angela Schoellig’s research in enhancing the capabilities of robots within human-centric environments

U of T Engineering researchers are using a traditional eye test to assess the quality of VR cameras. (Photo: David Travis, via Unsplash)

From quality control to deepfakes: How one U of T Engineering team is advancing VR technology

Two new research papers aim to expand the use of VR for personal and professional applications

Mollie Bianchi (UTIAS MASc candidate) is among five U of T Engineering graduate students awarded Vector Institute Scholarships in Artificial Intelligence. (Photo courtesy of Mollie Bianchi)

Five U of T Engineering students recognized with Vector Institute Scholarships in AI

Vector scholarships will enable graduate students to advance research in artificial intelligence, including deep learning and machine learning

The U of T Engineering student team and their self-driving car, Zeus, beat out seven other universities to defend their first-place title

aUToronto wins AutoDrive Challenge for second year in a row

The U of T Engineering student team and their self-driving car, Zeus, beat out seven other universities to defend their first-place title

Members of the aUToronto team at the Year 1 AutoDrive Challenge competition at General Motors Proving Grounds in Yuma, Ariz. (Credit: SAE International)

aUToronto to compete in Year 2 of AutoDrive Challenge

U of T Engineering team and their self-driving car are headed to Ann Arbor, Mich., to take on seven other teams in international competition

An AI-enabled tool developed by Professor Timothy Chan (MIE) and PhD candidate Aaron Babier develops treatment plans for radiation therapy in a fraction of the time required by traditional methods. Chan will direct the new Centre for Analytics and Artificial Intelligence Engineering (CARTE). (Photo: Brian Tran)

U of T Engineering to launch new AI research centre

The Centre for Analytics and Artificial Intelligence Engineering (CARTE) drives collaborative research between faculty members, graduate students and external partners