Data Analytics & AI
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.
- Artificial Intelligence
- Augmented Reality
- Autonomous Vehicles
- Computing Systems (from Internet of Things to hardware and software)
- Computer Architecture
- Computational Medicine
- Data Mining
- Intelligent Robotic Systems
- Intelligent Transportation
- Machine Learning
- Neural Networks
- Smart City Platforms
The Vector Institute strives to attract the best global talent focused on research excellence in deep learning and machine learning. Its researchers and academic partners are part of a vibrant community of innovative problem-solvers, working across disciplines on both curiosity-driven and applied research.
CMTE is a research leader in communications technology for the Canadian financial services industry. Researchers collaborate with national financial institutions to conduct research into next-generation financial technology.
COHESA is a strategic partnership between 19 leading research groups across Canada and technology companies with a long-term interest in machine learning.
SOSCIP pairs academic and industry researchers with advanced computing platforms to fuel Canadian innovation within the areas of agile computing, health, water, energy, cities, mining, advanced manufacturing, digital media and cybersecurity.
SAVI advances Canada’s Digital Economy Strategy by strengthening the industrial base in information and communications technology (ICT) through the active participation of its partners.
Study Data Analytics & Artificial Intelligence at U of T Engineering
Our Master of Engineering students can choose from a wide range of technical emphases, including Robotics & Mechatronics and Analytics. Within the Engineering Science program, undergraduates can major in Robotics or Machine Intelligence — the first program of its kind in Canada to specialize in the study, development and application of algorithms that help systems learn from data. Undergraduates in our core engineering disciplines can pursue complementary studies in Robotics & Mechatronics through multidisciplinary minors.
Newly released data from a collaboration between U of T Engineering, the University of Waterloo and Scale AI will help train future self-driving cars to handle the challenges of winter driving.
This week, Professors Steven Waslander (UTIAS) and Krzysztof Czarnecki (University of Waterloo) and their teams unveiled the Canadian Adverse Driving Conditions (CADC) dataset. Based on scans of real Canadian roads, the dataset acts as a virtual training course for the computer algorithms that enable cars to drive themselves.
“There are lots of great training datasets out there already, but they were collected on sunny, summer days,” says Waslander