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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

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Stanley Ng (IBBME) holds up a cartridge used to measure the gene expression levels of cancer cells. A team led by Ng has developed a new rapid test that can predict the effectiveness of leukemia treatments for a given patient, providing results in 24 to 48 hours. Photo: Luke Ng

New stem cell-based gene test predicts patient risk in acute myeloid leukemia

U of T Engineering alumnus John Paul Morgan (EngSci 0T1, ECE MASc 0T5) was inspired to found his company, Morgan Solar, by his experiences with Doctors Without Borders in the Democratic Republic of Congo. Morgan is part of a new generation of entrepreneurs helping to bring inexpensive electricity to energy-impoverished regions. (Courtesy: John Paul Morgan).

The next generation of solar pioneers: Electrifying a nation

Students interact with the monument to commemorate the National Day of Remembrance and Action on Violence Against Women, December 6, 2016. (Credit: Kevin Soobrian)

Engineering students construct monument to mark National Day of Remembrance and Action on Violence Against Women

Margaret and John Bahen (CivE 5T4). Both U of T alumni, their visionary philanthropy is seeding breakthroughs in medicine, engineering, math and computer science.

Remembering Margaret and John Bahen