Matthew Guzdial
Fellow & Canada CIFAR AI Chair
Academic Affiliations
Areas of Expertise
Fellow & Canada CIFAR AI Chair
Academic Affiliations
Areas of Expertise
Matthew Guzdial works on creative artificial intelligence and machine learning
Matthew Guzdial works on creative artificial intelligence and machine learning, an area of research that can enable machine learning to move from predicting what has come before to anticipating and creating new possibilities. His research applies AI and machine learning to domains we would typically consider requiring human creativity, such as generating content for video games, visual art and creative commentary. He has applied computational creativity for image classification and generation in a transfer learning framework (beating state of the art baselines), and built a benchmark for the development of new creative ML agents. Matthew has developed machine learning tools to support game designers, such as an intelligent game level editor with an active learning assistant, machine learning approaches for predicting user experience and tools to help with visual theming.
Matthew is a Fellow and Canada CIFAR AI Chair at Amii and an Assistant Professor of Computing Science at the University of Alberta. He achieved his Ph.D. in Computer Science in 2019 at the Georgia Institute of Technology where his thesis focused on Combinational Machine Learning Creativity. His research has been featured in popular media such as Vice, Time, Motherboard, BBC and Rolling Stone, and his code has been applied to research at Cornell University, Drexel University, Northeastern University, Worcester Polytechnic University, the University of California, Davis, and the University of California, Santa Cruz. Matthew has been an organizer for the AAAI Conference on Artificial Intelligence in Digital Entertainment and Workshop on Knowledge Extraction from Games. He has received the best paper award at the International Conference on Computational Creativity in 2017 and 2019.
Jun 12th 2018
Research Post
Aug 19th 2017
Research Post
May 4th 2019
Research Post
Matthew has received the best paper award at the International Conference on Computational Creativity in 2017 and 2019.
May 16th 2024
News
Amii and New Harvest are excited to announce phase two of their research collaboration focused on applications of artificial intelligence and machine learning in cellular agriculture. The new phase initiates a year-long project with an open call to researchers and experts specializing in cellular agriculture and machine learning who want to apply ML solutions to solve the challenges in the field.
May 7th 2024
News
Check out the advancements being presented by Amii researchers at the 2024 International Conference on Learning Representation.
May 2nd 2024
News
Read our monthly update on Alberta’s growing machine intelligence ecosystem and exciting opportunities to get involved.
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