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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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A headshot of Maeva Che, she is wearing a pink shirt and has long braids.

U of T Engineering PhD student is working to improve the sustainable treatment of Ontario’s drinking water

From left to right: PhD student Niloufar Yousefi is seated next to Professor John Simpson-Porco in a classroom setting. They are both looking at material on their shared workspace. There is black chalk board in the background. (photo by Matthew Tierney)

Ontario Early Researcher Award supports research on control systems to improve grid reliability

Headshot of Alison Olechowski

Professor Alison Olechowski honoured with the 2023-24 Cheryl Regehr Early Career Teaching Award

Image from below looking up at a U of T Engineering building.

U of T Engineering places among global top 20 in QS World University Rankings 2024