Welcome to Waterloo.ai

Artificial Intelligence (AI) is the notion of machines that exhibit intelligence and mimic cognitive functions that are usually associated with humans, such as learning, reasoning, predicting, planning, recognizing, and problem solving. With the advent of big data driven by the explosion of computing capacity and speed, AI tools are being increasingly integrated in technological solutions that are central to our everyday life, business, society, and the environment. 

Formally launched in April, 2018, The Waterloo Artificial Intelligence Insititute (Waterloo.ai) comprises multidisciplinary research teams with expertise in disciplines such as math, computer science, engineering and social sciences. These research teams are world-leading in foundational AI research but also have particularly demonstrated expertise in successfully collaborating with industry. Our applied or 'operational' AI research takes a complementary, problem-driven approach which, when combined with our integrated teaching approach and access to highly qualified talent, allows us to help our partner companies drive a continuous cycle of innovation to develop real-world solutions that address operational problems and enable new products and services. 

Even more importantly, our operational AI research is focused on responsible, reliable, accessible, lightweight and compact solutions, with highly effective intelligence that relies on minimal computing power and energy requirements. 

Waterloo.ai's research projects fall into two main categories:

  • AI for Industry: Partnering with small- and medium-sized enterprises and large corporations to tackle specific business problems via operational AI research. Our researchers are currently developing innovative operational AI technology in areas such as medical diagnostics, self-driving vehicles, manufacturing, consumer finance, agriculture, speech recognition and living architecture.
  • AI for Social Good: Partnering with for-profit, non-profit and public sector companies to tackle complex issues with broad ranging societal implications. Our researchers have experience in working on problems of social benefit, including specific problems relating to environment and sustainability, aging and health, support of citizen science,  fairness and bias in machine learning, trust in AI systems, and human-AI collaboration, to name a few. Waterloo.ai is also interested in creating an endowment fund which will support partnerships and research on problems of social benefit.

Waterloo.ai is producing end-to-end AI solutions of immediate benefit to all Canadians. In years to come, we expect this research investment to yield profound dividends for the economic prosperity, wellbeing and quality of life of people all around the world. 

  1. Feb. 5, 2020WaterlooAI Job Fair

    Waterloo Artificial Intelligence Institute hosted its first AI Job Fair on February 5th 2020 for our partner companies! We had over 400+ AI-focused Master’s, Ph.D. and senior undergraduate students. From 1:1 conversations to breakout sessions, the students learned about the companies’ culture, the nature of their AI projects and open positions.

  2. Nov. 26, 2019Professor Fakhri Karray named IEEE Fellow

    ECE Professor, Fakhri Karray, has been named an IEEE Fellow.  He is being recognized for "Contributions to Intelligent Systems."

    IEEE Fellow is a distinction reserved for select IEEE members whose extraordinary accomplishments in any of the IEEE fields of interest are deemed fitting of this prestigious grade elevation.

  3. Nov. 12, 2019University of Waterloo researchers use AI to help make advances in preventive health care

    They capture one of the most basic functions in the human body — blood flow through the arteries, and then back to the heart through the veins — but in a mind-blowingly sophisticated way.

Read all news
  1. Feb. 26, 2020Waterloo.ai Seminar: Marcus Brubaker on Noise Flow: Noise Modeling with Conditional Normalizing Flows

    Please join us for the next institute seminar on Wednesday, February 26 at 1:30pm in DC 1302.


    Title: Noise Flow: Noise Modeling with Conditional Normalizing Flows

  2. Mar. 13, 2020Waterloo.ai Seminar: Kate Larson on Fair Reward Division

    Please join us for the next institute seminar on Friday, March 13 at 10:30am in DC 1302.


    Title: Fair Reward Division

    Abstract: TBD


    Speaker Bio:

  3. Mar. 20, 2020Waterloo.ai Seminar: Jelena Mitrović on Computational Rhetoric and Neural Networks in Abusive Language Detection

    Please join us for the next institute seminar on Friday, March 20 at 2:30pm in DC 1302.


    Title: Computational Rhetoric and Neural Networks in Abusive Language Detection

    Abstract: TBD


    Speaker Bio:

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