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.

Researchers from U of T’s Centre for Social Services Engineering are helping to develop a platform that harnesses AI to improve wayfinding for Canadians seeking social services (Photo: iStock/Ankit Sah)

Using AI to help Canadians find social services: U of T researchers team up with industry and government

Researchers from U of T’s Centre for Social Services Engineering are helping to develop a platform that harnesses AI to improve wayfinding for Canadians seeking social services

As part of their research on water equity in India, a multi-disciplinary team at U of T will examine water distribution infrastructure, such as this tube well seen in New Delhi, India in 2017. (Photo: iStock)

How data science could enhance water practices and equity in India

A Catalyst Grant from U of T’s Data Sciences Institute will help launch a new cross-disciplinary research project co-led by Professor David Meyer (CivMin, CGEN)

Left: A map of Toronto showing 17 of the TTC’s 75 stations. Right: A sample network connecting those 17 nodes, created by a computer model of a slime mould, Physarum polycephalum. (Images courtesy: Raphael Kay)

Could a ‘virtual slime mould’ design a better subway system?

A model based on the growth patterns of a single-celled organism could lead to networks with improved travel time or resilience to disruption

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.