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‘These opportunities are precious’: How U of T Engineering students are gaining global experience abroad

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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

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Power players: How U of T engineers are building a smarter electricity grid

By land, by air: engineering sustainable transportation solutions

By land, by air: Engineering sustainable travel

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No more poking at your smartphone: Students unveil ideas for new mobile user interfaces

It may look more like Junk Yard Wars than high-tech, but U of T researcher Illan Kramer's (pictured) device is the first step towards spray-on solar cells.

New technique offers spray-on solar power