Welcome to Waterloo.ai
Artificial Intelligence (AI) will change our lives – transforming how we work, how we travel, how we treat disease, how we communicate, and how we learn.
The Waterloo Artificial Intelligence Institute (Waterloo.ai) has a vital role to play. Researchers at the University of Waterloo are developing intelligent systems that can detect cancer and heart disease, understand language and emotion, and navigate roadways and factory floors better than ever before. But we’re just getting started. Our constant focus on key technologies and on the foundational breakthroughs to make them a reality will accelerate AI innovation that benefits everyone, everywhere.
Waterloo’s track record of partnership with industry will allow us to deliver effective AI innovation for hundreds and thousands of businesses across Canada – a truly inclusive AI revolution. Canadian start-ups, Small-to-medium enterprises (SMEs) and corporations will be able to pioneer new technologies in medical care, assistive devices, environmental monitoring, adaptive robotics, and autonomous driving.
Building on this expertise and experience, Waterloo 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.
- Apr. 12, 2019
Canadian company Voiceflow is one example of the kinds of possibilities the growing field of voice technology opens up
Voice-based assistants, such as Amazon Alexa and Google Home, are growing in popularity, to such an extent that market research company eMarketer predicts there will be 5.8 million such smart speakers in use in Canadian households this year.
- Apr. 4, 2019
Fourteen members of the AI Institute will be at the University of Bordeaux on April 8-10 for a joint workshop on the topic of AI and Public Health. The goal of the workshop is to establish and deepen research partnerships by bringing together an interdisciplinary group of researchers with expertise in artificial intelligence, machine learning, public health, biostatistics, epidemiology, mobile health technology, population health, surveillance, incentivizing healthy behaviour, and health informatics.
- Mar. 21, 2019
It is no secret that deep neural networks (DNNs) can achieve state-of-the-art performance in a wide range of complicated tasks. DNN models such as BigGAN, BERT, and GPT 2.0 have proved the high potential of deep learning. Deploying DNNs on mobile devices, consumer devices, drones and vehicles however remains a bottleneck for researchers. For such practical, on-device scenarios, DNNs must have a smaller footprint.
- Apr. 29, 2019
Kerstin Dautenhahn, Canada 150 Research Chair in Intelligent Robotics
University of Waterloo