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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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Tiny structures, big impact: Nano-engineering researcher hones multidisciplinary skills for academia with new fellowship

September 21, 2022

Smiling man leans with arms folded in a bright hallway

‘There’s no getting away from the operating system’: Meet new ECE Professor Jon Eyolfson

September 9, 2022

Gaius St. Marie

The idea factory: Meet sustainable chemistry researcher and IBET Momentum Fellowship recipient Gaius St. Marie

September 9, 2022

Professor David Sinton (MIE) is regarded as a pioneer in the area of microfluidics for energy applications. (Photo: Pam Walls)

Professor David Sinton elected to the Royal Society of Canada

September 6, 2022

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