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.

Alumnus Lyndon Chan hopes to boost political engagement with Parlawatch, an online tool that scrapes official transcripts from Question Period and uses natural language processing to generate daily summaries. (Photo courtesy: Lyndon Chan)

Startup led by U of T alumni uses AI to help Canadians track parliamentary proceedings

Their online platform aims to cut through clutter, misinformation and bias to help people better engage in federal politics

Professor Li Qian (ECE), shown in her lab pre-pandemic, is part of a research team that proposed a new quantum fingerprinting protocol, which is used to quickly and securely identify whether information from two sources is the same. (Photo: Don Figer)

Quantum ‘fingerprints’ made smaller and delivered faster

New protocol from ECE researchers solves communication complexity problems more efficiently and with off-the-shelf components

In the Rock Fracture Dynamics Facility (CivMin), rock samples are subjected to the stress, fluid pressure and temperature conditions they would experience in nature. The research is one of nine projects boosted by new funding from the Canada Foundation for Innovation. (Photo courtesy Sebastian Goodfellow)

Rock music: Listening for induced earthquakes among nine U of T Engineering projects funded through CFI

CFI’s John R. Evans Leaders Fund will support research into seismicity, water treatment, bioengineering and more

Professors Lisa Austin (Faculty of Law) and David Lie (ECE) — photographed before the COVID-19 pandemic — are part of a multidisciplinary team behind a new global study that explores the privacy expectations and behaviour of smartphone users. (Photo: Jessica MacInnis)

Privacy study sheds light on why we grant or deny app requests

U of T Engineering professor led a multidisciplinary team behind a new global study that explores the privacy expectations and behaviour of smartphone users

Zeus is Chevolet Bolt retrofitted to become a self-driving vehicle by a team of U of T Engineering students and researchers. Professor Steven Waslander (UTIAS) and his collaborators are leading a new project that will transform Toronto into a global hub for research and development related to autonomous driving in winter. (Photo: aUToronto)

WinTOR: New partnership will train self-driving cars to handle tough winter conditions

U of T Engineering joins with four leading companies to develop new technologies to make autonomous vehicles more resilient in the face of snow, ice and other challenges

Professor Parham Aarabi (ECE) is one of a group of AI experts behind HALT AI, a U of T service that tests for bias in AI systems across a variety of diversity dimensions, such as gender, age and race. (Photo: Johnny Guatto)

New U of T initiative to assess bias in AI systems

U of T service measures the performance of AI algorithms across diverse inputs, such as gender, age and race.

Lab Manager Emily Hopkins adjusts the Vici HPLC in the Aspuru-Guzik laboratory. (Photo by Johnny Guatto)

New Acceleration Consortium at University of Toronto applies artificial intelligence to discovery of advanced materials

Global coalition aims to accelerate research of new materials that will increase affordability and sustainability in a wide range of applications

Heat-map images are used to evaluate the accuracy of a novel explainable artificial intelligence algorithm developed for LG’s display screens. (Image courtesy of Mahesh Sudhakar)

New ‘explainable’ artificial intelligence algorithm could lead to smarter manufacturing

The technology is the first product of a collaboration between ECE and LG’s AI Research division

Data analytics expert and tennis fan Professor Timothy Chan (MIE) is building a multidisciplinary hub of sports analytics research at U of T. (Photo courtesy Timothy Chan)

Connaught Global Challenge: How big data can help athletes and sports teams play smarter

Through multidisciplinary collaboration, Professor Timothy Chan (MIE) aims to turn U of T into a global leader in sports analytics