Welcome to Waterloo.ai

Artificial Intelligence (AI) is the study of machines and software that exhibit intelligence, such as learning, reasoning, planning, problem solving, predicting, and the use of language and vision. With the advent of big data, and driven by the explosion of computing capacity and speed, AI tools are being increasingly integrated into technological solutions that are central to our everyday life, business, society, and the environment.

Since launching in 2018, Waterloo.ai's multidisciplinary research teams have been collaborating with industry to develop intelligent systems in areas such as disease detection and treatment, understanding language and emotion, vehicle navigation, and ensuring fairness and equity in such systems.

Our projects are building tomorrow's intelligent systems today, translating industrial requirements into deployable AI. In years to come, we expect this investment to yield profound dividends for the economic prosperity and quality of life of people all around the world.

And we are just getting started.

News

  1. Oct. 16, 2020Waterloo.ai to Hold Webinar Series for Corporate Partners
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  2. July 8, 2020The University of Waterloo’s Artificial Intelligence Institute expands AI for Good partnership with Microsoft Canada

    The University of Waterloo’s Artificial Intelligence Institute expands AI for Good partnership with Microsoft Canada

  3. May 27, 2020Apple buys Waterloo-based AI startup in effort to improve Siri

    Apple's voice-activated assistant Siri, lags behind its competitors, Alexa and Google Assistant. In efforts to close the gap between Apple's two competitors, the corporation bought Inductiv Inc., a recent AI startup in Waterloo. 

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Events

  1. Nov. 3, 2020Waterloo.ai Seminar: Dr. Emtiyaz Khan on "Bayesian Principles for Learning Machines"
    Image of Dr. Emtiyaz Khan.

    Speaker: Dr. Emtiyaz Khan - Team Leader at RIKEN center for Advanced Intelligence Project (AIP)

  2. Dec. 1, 2020Waterloo.ai Seminar: Prof. Graham Taylor on "Conditional Generative Adversarial Networks: Iterative Generation and Holistic Evaluation"

    Speaker: Prof. Graham Taylor


    Abstract: Conditional Generative Adversarial Networks (cGANs) are finding increasingly widespread use in many application domains, most notably text-to-image synthesis. In this talk, I will address two outstanding limitations of this paradigm.

All upcoming events