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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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Tania Albarghouthi

Godiva’s Hymn contest winners unveiled at Cannonball

Professor Emeritus Andrew Goldenberg is the 2016 recipient of the IEEE Canada A.G.L. McNaughton Gold Medal.

Professor Emeritus Andrew Goldenberg honoured with IEEE Canada A.G.L. McNaughton Gold Medal

Kyle Battiston

IBBME alumnus develops new anti-inflammatory biomaterial for medical implants

Professors Kamran Behdinan, Doug Hooton, Hugh Liu, and Heather MacLean, along with alumnus Marc Rosen have been recognized by the Engineering Institute of Canada (EIC) for their distinguished engineering achievements.

Engineering professors and alumnus honoured by the Engineering Institute of Canada