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Interactive ‘Stargazer’ camera robot assists with how-to video creation

Interactive ‘Stargazer’ camera robot assists with how-to video creation

A team of U of T computer scientists explores how an interactive camera robot can assist in creating dynamic tutorial videos based on subtle verbal and non-verbal instructor cues. 

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New research on training decision-making AI reveals insights into normative judgments

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New research on training decision-making AI reveals insights into normative judgments

A new paper by MScAC alumna Aparna Balagopalan demonstrates why labelling data with normative prompts can yield better outcomes in machine learning models. Its co-authors include Assistant Professor, Status-Only Marzyeh Ghassemi and CS graduate student David Madras.  

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Award-winning text visualization research aims to support health-care workers navigating patient records

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Award-winning text visualization research aims to support health-care workers navigating patient records

PhD graduate Nicole Sultanum has received the 2022 Bill Buxton Dissertation Award from the Canadian Human-Computer Communications Society.  

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‘It’s given me huge encouragement’: PhD grad wins 2022 Alain Fournier Dissertation Award for geometry processing research on stylization algorithms

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‘It’s given me huge encouragement’: PhD grad wins 2022 Alain Fournier Dissertation Award for geometry processing research on stylization algorithms

Hsueh-Ti Derek Liu has been awarded the 2022 Alain Fournier Dissertation Award for his outstanding doctoral dissertation in computer graphics.  

Alec Jacobson wins CS-Can/Info-Can Outstanding Early Career Computer Science Research Award

Alec Jacobson wins CS-Can/Info-Can Outstanding Early Career Computer Science Research Award

Alec Jacobson has been named a 2022 recipient of the Outstanding Early Career Computer Science Research Award. The honour recognizes CS faculty members at Canadian universities who have made significant contributions early in their academic careers.

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Transforming education through AI-powered adaptive experiments: U of T computer scientists’ team wins XPRIZE Digital Learning Challenge

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Transforming education through AI-powered adaptive experiments: U of T computer scientists’ team wins XPRIZE Digital Learning Challenge

The Adaptive Experimentation Accelerator, led by Assistant Professor Joseph Jay Williams, aims to design inclusive and personalized learning experiences. 

Ashton Anderson discusses recommender systems with Spotify’s senior director of research

Ashton Anderson discusses recommender systems with Spotify’s senior director of research

Assistant Professor Ashton Anderson recently conversed with Mounia Lalmas, senior director of research at Spotify about some of the behind-the-scenes techniques used by the world’s largest music streaming platform. 

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U of T receives $200-million grant to support Acceleration Consortium's ‘self-driving labs’ research

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U of T receives $200-million grant to support Acceleration Consortium's ‘self-driving labs’ research

Led by Professor Alán Aspuru-Guzik, the consortium works to develop “self-driving labs” that combine artificial intelligence, robotics and advanced computing to discover new materials and molecules in a fraction of the usual time and cost.  

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U of T computer science students ‘level up’ at game design showcase

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U of T computer science students ‘level up’ at game design showcase

Competing against dozens of teams from across Ontario, U of T video game design students took home top honours at the 10th anniversary edition of the Level Up Showcase.  

Brave new technology: A&S experts provide insight into generative AI tools like ChatGPT and DALL-E

Brave new technology: A&S experts provide insight into generative AI tools like ChatGPT and DALL-E

U of T’s A&S News spoke with Assistant Professor Ashton Anderson and other experts from the Faculty of Arts & Science for their insights on generative AI tools amid the ongoing discourse about the technology’s perceived benefits and risks. 

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U of T computer scientists' MOOClet framework helps personalize and improve online learning experiences

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U of T computer scientists' MOOClet framework helps personalize and improve online learning experiences

The Adaptive Experimentation Accelerator, which includes Assistant Professor Joseph Jay Williams and U of T CS students Ilya Musabirov, Mohi Reza, Pan Chen and Harsh Kumar, is one of three finalists for the XPRIZE Digital Learning Challenge. The team’s software architecture uses machine learning to design inclusive and personalized online classrooms. 

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Computer Science faculty members awarded Catalyst Grants from Data Sciences Institute

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Computer Science faculty members awarded Catalyst Grants from Data Sciences Institute

Department of Computer Science faculty members are among the 2023 recipients of the Data Sciences Institute’s Catalyst Grant competition. The grants are awarded to multidisciplinary collaborative research teams focused on harnessing the transformative nature of data sciences.

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AI code generators could make learning to code easier for young students, new research shows

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AI code generators could make learning to code easier for young students, new research shows

New research led by PhD student Majeed Kazemitabaar reveals AI code generators show promise in making programming more accessible for novice programmers learning to code.