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U of T Engineering News

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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Dr. Mjaye Mazwi (left) and Professor Sebastian Goodfellow (CivMin) are training AI to recognize the warning signs of impending arrhythmia based on clinicians’ expertise and more than 10,000 electrocardiogram readings. (Photo: SickKids)

Tremors of the heart: How AI could help doctors predict cardiac problems in critically ill children

May 10, 2023

Professor Aereas Aung (BME) is an expert in vaccine development and cancer treatment (Photo: submitted)

‘A strong believer in knowing the fundamentals’: Meet Professor Aereas Aung

May 5, 2023

Left to right: Huazhong University of Science and Technology researchers Yuanhao Lou, Qiuhong Min, Jian Jin, Yuanjie Pang and Dan Wu gather around an electrolyzer to test a new catalyst that can convert CO from captured carbon into acetic acid. They are part of a global team that includes U of T Engineering researchers. (Photo: Jiayang Song)

New catalyst could increase the value of captured carbon by transforming it into acetic acid

May 3, 2023

Robotics in a chemistry lab

‘Self-driving labs’: $200-million federal grant powers AI-driven materials discovery for clean energy, advanced manufacturing and more

May 1, 2023

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