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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 (MIE, BME) has developed innovative curriculum, established inclusive research programs and promoted experiential learning opportunities across various departments and faculties. (photo courtesy of Craig Simmons)

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

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Professor Hai-Ling Margaret Cheng and her team have developed a more effective way to monitor cardiac stem cell therapy for treating heart disease. (Photo: Neil Ta)

Novel MRI approach gives heart failure patients new hope

Photo: Tyler Irving

The Entrepreneurship Hatchery: Three student startups to watch

Ashis Ghosh (MechE 1T5 + PEY) and Karim Koreitem (ECE 1T5 + PEY) are two of the four U of T Engineering students striving to bring their business ideas to fruition in this year’s cohort of The Next 36. (Photo: Stephanie Lake/The Next 36)

Four recent U of T Engineering graduates go through business bootcamp at The Next 36

teaBOT creates customized, robot-blended cups of loose-leaf tea, brewed in under 30 seconds. Its machines are deployed in Toronto and various cities in California. (Photo courtesy of teaBOT)

U of T Engineering startup teaBOT expands across North America