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.

  1. Nov. 3, 2020Waterloo.ai: Official Launch of Our LinkedIn Page
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    The Waterloo AI team is proud to announce the official launch of our LinkedIn page! 

    Our goal is to provide our followers with updates on the Institute's events, webinars, and news. We believe that through utilizing this platform, we can keep you more informed. 

  2. Oct. 16, 2020Waterloo.ai to Hold Webinar Series for Corporate Partners
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  3. 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

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

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