Since launching in 2018, Waterloo.AI’s multi-disciplinary research teams have been collaborating with industry to develop intelligent systems in areas such as disease detection and treatment, understanding language and emotion, and vehicle navigation.
Our projects are building tomorrow’s intelligent systems today, by translating industry requirements into deployable, real-time embedded 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.
What is Artificial Intelligence?
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.
Why Should You Care About Data?
Waterloo.AI's Co-Director - Jimmy Lin, explains the importance of data in this episode of the "Back to the Classroom" video series.
News
Jimmy Lin named a 2022 ACM Fellow
Professor Jimmy Lin has been named a 2022 ACM Fellow for his contributions to question answering, information retrieval, and natural language processing.
Using machine learning to predict brain tumour progression
Waterloo researchers use MRI data to further personalize cancer medicine.
Waterloo leads university and industry consortium to advance Canada’s security and defence
A team of computer scientists at Waterloo is leading the $1.5 million multi-partner consortium.
Events
Waterloo.AI's AI Job Fair
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ChatGPT: What executives really need to know
In this free webinar, University of Waterloo AI subject matter expert, Jimmy Lin, will separate myth from reality and highlight the plausible impacts that ChatGPT and other generative AI technologies will have on Canadian businesses and industries. Lin will also offer early indicators on how these technologies may evolve and emphasize the implications for business models, work processes, and talent management.