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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

Professor Craig Simmons receives the Engineers Canada Medal for Distinction in Engineering Education

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Go North inspires more than 1,200 future innovators

May 19, 2017

Emile Maamary and Mark Elias (CivE 1T4) show off Steadiwear's tremor-dampening glove and the startup's latest award. (Photo: Chris Sorensen)

U of T Engineering startups earn awards from Ontario Centres of Excellence

May 18, 2017

“Curriculum design is highly fluid, highly iterative,” says Sam Chan, who implemented the technology that enabled U of T Medicine’s first competency-based curriculum for MDs. (Photo: Michael Freeman)

Retooling the future of education: EdTech Workshop 2017

May 18, 2017

Left to right: U of T Engineering students Oliver Wu, Andrew Ilersich, Erik Chau, Winston Liu, Kevin Dong, Kevin Xu, Rikky Duivenvoorden and Spencer Zhao. This team took first place at the Unmanned Systems Canada UAS Student Competition. (Courtesy: UTAT)

U of T Engineering student team takes first place at national drone competition

May 15, 2017

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