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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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U of T Engineering doctoral students receive Vanier Scholarships worth $150,000

University Professor Michael Sefton (IBBME, ChemE) has received $1.1M in research funding to advance treatment for type 1 diabetes that involves transplanting pancreatic cells under the skin. (Credit: Neil Ta)

Michael Sefton receives $1.1M from JDRF for type 1 diabetes research

U of T students win prize for engineering video

Michael Bazzocchi, centrem with Trek for Teens volunteers. Bazzocchi's organization has raised more than $60,000 in support of charities that aid homeless youth. (Courtesy of Michael Bazzocchi)

Engineering student founds Trek for Teens to help homeless youth