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U of T Engineering News

liquid injection pattern

Inspired by nature, temperature-responsive building facades could help reduce energy use from heating and cooling

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

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Graduate research assistant Weiwu Chen (CivMin) counts microplastics using a microscope in the lab of Professor Elodie Passeport (CivMin, ChemE). (Photo: Shuyao Tan)

U of T Engineering researchers use machine learning to enhance environmental monitoring of microplastics

April 18, 2022

A Global Classrooms project brought together students from U of T Engineering and Nigeria’s Covenant University to build a low-cost biogas generator for remote communities in Africa’s most populous country. (Image: Zoom)

U of T Engineering students collaborate across time zones through ‘Global Classrooms’ initiative

April 14, 2022

The DREAM Laboratory constructed and tested 12 different face masks, and used a sweating thermal manikin to validate if there was a correlation between face mask discomfort and the level of protection the mask offers. (Photo: Farzan Gholamreza)

Are safer masks more uncomfortable? New U of T Engineering study offers answers

April 8, 2022

Professor Matthew Mackay (MIE) recognized for his work revamping labs and courses to enhance hands-on student experience within the Department of Mechanical & Industrial Engineering. (Photo: MIE)

Matthew Mackay receives U of T’s Joan E. Foley Quality of Student Experience Award

April 7, 2022

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