Artificial Intelligence Group

Welcome to the Artificial Intelligence Group

The Artificial Intelligence (AI) Group at the David R. Cheriton School of Computer Science conducts research in many areas of artificial intelligence. Faculty members of the group have active interests in: models of intelligent interaction, multi-agent systems, natural language understanding, constraint programming, computational vision, robotics, machine learning, and reasoning under uncertainty.

The AI Group also has a particular investment in Societal AI.

  1. May 30, 2019Haonan Duan receives Vector Scholarship in Artificial Intelligence

    Haonan Duan has received a prestigious Vector Scholarship in Artificial Intelligence from the Vector Institute.

  2. May 21, 2019Moojan Ghafurian, Neil Budnarain and Jesse Hoey make AI more human

    The key to people trusting and co-operating with artificially intelligent agents lies in their ability to display human-like emotions, according to a new study by Postdoctoral Fellow Moojan Ghafurian, Master’s candidate Neil Budnarain and Professor Jesse Hoey at the Cheriton School of Computer Science.

  3. May 17, 2019Jesse Hoey and Robert Freeland receive 2019 Outstanding Recent Contribution in Social Psychology Award

    Cheriton School of Computer Science Professor Jesse Hoey has teamed up with Professor Robert Freeland, a sociologist at Wake Forest University, to conduct novel research at the intersection of computer science and social psychology.

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  1. July 23, 2019Master’s Thesis Presentation: Towards Pixel-Level OOD Detection for Semantic Segmentation

    Matthew Angus, Master’s candidate
    David R. Cheriton School of Computer Science

    There exists wide research surrounding the detection of out of distribution sample for image classification. Safety critical applications, such as autonomous driving, would benefit from the ability to localise the unusual objects causing an image to be out of distribution. 

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