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machine learning

CentML startup led by Gennady Pekhimenko provides cost-effective machine learning solutions to companies

CentML startup led by Gennady Pekhimenko provides cost-effective machine learning solutions to companies

A startup co-founded and led by Associate Professor Gennady Pekhimenko helps companies optimize the performance and cost-efficiency of machine learning models.

CS alum Alex Lu is discovering new ways to apply deep learning in biology

CS alum Alex Lu is discovering new ways to apply deep learning in biology

CS alumnus Alex Lu works as a senior researcher on the Microsoft New England Research and Development team. His research focuses on using novel machine learning methods to generate hypotheses in biology.

Computer Science PhD students win 2023 Qualcomm Innovation Fellowship with machine learning optimization project

Computer Science PhD students win 2023 Qualcomm Innovation Fellowship with machine learning optimization project

Yaoyao Ding and Bojian Zheng have been awarded a Qualcomm Innovation Fellowship for their proposal, “Dynamic Deep Neural Network Compilation.” 

Since discovering machine learning and AI in first year, CS grad Varun Lodaya, has never looked back

Since discovering machine learning and AI in first year, CS grad Varun Lodaya, has never looked back

Graduating student Varun Lodaya reflects on studying computer science at the University of Toronto and how he found his calling in machine learning and artificial intelligence in his first year.

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.

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

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. 

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

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.   

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

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.