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Research & Innovation

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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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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.

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U of T researchers advancing telescope technology for next-generation ground-based observations

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U of T researchers advancing telescope technology for next-generation ground-based observations

A group of researchers including computer science PhD candidate Robin Swanson has built and installed new telescope equipment and developed machine learning algorithms to help unlock the full potential of large observatories.   

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University of Toronto scientists use machine learning to fast-track drug formulation development

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University of Toronto scientists use machine learning to fast-track drug formulation development

A new study co-led by Professor Alán Aspuru-Guzik demonstrates the potential for machine learning to accelerate the development of innovative drug delivery technologies.