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Recent grad Akram Khan (MechE 2T2 + PEY, MIE MEng student) is using the part-time MEng program to upgrade his skills while keeping his full-time job. (photo by Tyler Irving)

AI and squash lessons: How the part-time MEng helps this working professional upgrade his skills — and keep active on the side

A person looks at a chip they are holding between their two gloved hands

Why does cancer rarely spread to the heart? U of T researchers develop organ-on-a-chip platform to find out

A person wearing glasses stands in front of a building smiling at the camera

It’s best to be curious and to always ask questions: Meet Professor Ali Bereyhi

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A person standing with mountains and a lake in the background.

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

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