As the hub for collaborations and partnerships in analytics and artificial intelligence at The University of Toronto's Faculty of Applied Science and Engineering, our mission is to conduct state-of-the-art research while nurturing the next generation of engineering talent. We seek to translate and commercialize effective solutions in engineering and be a catalyst for our partners to make a significant and lasting impact in the global marketplace.
We partner with industry and government to drive collaborative research between technical analytics and artificial intelligence experts and those with domain-specific knowledge. Through these partnerships, we also cultivate new experiential learning opportunities for students, including internships, professional experience year co-op placements, capstone projects and MEng projects.
We have around 100 faculty affiliates from eight different departments and units within the University of Toronto's Faculty of Applied Science and Engineering, namely: Chemical Engineering, Civil and Mineral Engineering, Electrical and Computer Engineering, Institute for Biomedical Engineering, Mechanical and Industrial Engineering, Materials Science Engineering, University of Toronto Institute for Aerospace Studies, and Institute for Studies in Transdisciplinary Engineering Education & Practice (ISTEP).
Our faculty affiliates apply analytics, artificial intelligence, and machine learning techniques to tackle issues in a variety of sectors, including health care, urban planning and transportation, robotic systems, social networks, the energy sector, materials sciences, mining, the financial industry, the sport industry, and the education sector.
We facilitate research partnerships and provide support to match funds from government sources. We also provide technical and executive level training in the field.
To discuss collaboration opportunities with us, please contact: carte@utoronto.ca
Company Details
- Employees
- 2
- Address
- 55 St. George St, Toronto,ontario M5s 0c9,canada
- Industry
- Research
- Website
- https://carte.utoronto.ca
- Keywords
- Artificial Intelligence, Machine Learning, Predictive Analytics, Prescriptive Analytics, Natural Language Processing, Robotics, Expert Systems, Visualization, Information Design, Statistics, Optimization, Support Vector Machines, Random Forests, Neural Networks, Regression, Clustering, Unsupervised Learning, Supervised Learning, Deep Learning, AI Ethic and Bias.
- HQ
- Toronto, Ontario
- Competitors
- PRE, AI, Data & Analytics + Intelligent Automation Networks, University of Toronto Machine Intelligence Student Team (UTMIST), Schmidt AI in Science, University of Toronto, Sumo Analytics AI, Vector Institute, Edge AI Innovations, Velesium Labs, Mitsubishi Corporation, Schwartz Reisman Institute for Technology and Society.
Centre For Analytics & Ai Engineering (Carte) Questions
Centre For Analytics & Ai Engineering (Carte)'s website is https://carte.utoronto.ca
Centre For Analytics & Ai Engineering (Carte)'s LinkedIn profile is https://ca.linkedin.com/company/carte-toronto
Centre For Analytics & Ai Engineering (Carte) has
2 employees.
View email and phone details for 2
employees at Centre For Analytics & Ai Engineering (Carte).
Centre For Analytics & Ai Engineering (Carte)'s industry is
Research
Centre For Analytics & Ai Engineering (Carte)'s top competitors are
Pre,
Ai, Data & Analytics + Intelligent Automation Networks,
University Of Toronto Machine Intelligence Student Team (Utmist),
Schmidt Ai In Science, University Of Toronto,
Sumo Analytics Ai,
Vector Institute,
Edge Ai Innovations,
Velesium Labs,
Mitsubishi Corporation,
Schwartz Reisman Institute For Technology And Society.
Centre For Analytics & Ai Engineering (Carte)'s categories are Research
