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Large Language Models (LLMs) have high electricity and water consumption due to the resource requirements of serving them to millions of users. This footprint can be reduced using methods developed by Professor Samin Aref (MIE) and his team, which produce smaller LLMs through quantizing their parameters. (image generated by ChatGPT)

How ‘slimmed-down’ large language models can reduce AI’s environmental and energy footprint

Farah Ghizzawi

How a passion for sustainable transportation brought this graduate student from Beirut to Toronto

Professor Craig Simmons receives the Engineers Canada Medal for Distinction in Engineering Education

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PhD candidate Chantel Campbell

IBET Momentum Fellow Chantel Briana Campbell fabricates multilayered biomaterials that can help repair damaged hearts, eyes and muscles

September 5, 2023

U of T Engineering undergraduate students attend a lecture in the Myhal Centre’s Lee and Margaret Lau Auditorium. This fall, students will be able to pursue a certificate in Justice, Equity, Diversity and Inclusion in Engineering. (Photo: Daria Perevezentsev)

U of T Engineering launches new certificate in Justice, Equity, Diversity and Inclusion in Engineering

August 31, 2023

Stefan Mladjenovic

Meet five U of T Engineering graduate students awarded 2023 Vanier Scholarships

August 29, 2023

Professor Enid Montague stands in front of a mosaic artwork.

New human-centred automation tools could ease stress on overburdened health-care systems

August 29, 2023

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