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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 (MIE, BME) has developed innovative curriculum, established inclusive research programs and promoted experiential learning opportunities across various departments and faculties. (photo courtesy of Craig Simmons)

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

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Alumnus Arun Channan’s (CivE 8T0) background in civil engineering influenced him to become a dedicated volunteer with Habitat for Humanity. (Courtesy: Arun Channan)

Arun Channan: Hands-on with Habitat for Humanity

Alumna Yvonne Ying (EngSci 9T6) shares a moment with Dr. Sr. Najjuka, a surgeon and nun from Uganda whom she works with every January. (Courtesy: Yvonne Ying)

Yvonne Ying: Surgical outreach for those in need

At TEDxUofT, Professor Angela Shoellig (UTIAS) gave a talk about artificial intelligence and unmanned aerial vehicles (UAVs), and the Hatchery Hub helped people with bright ideas find each other. (Photo: The Entrepreneurship Hatchery)

Ideas Worth Building: U of T Engineering at TEDxUofT

Xueli Zheng, left, and Dr. Bo Zhang set up their device to efficiently split water to store energy as hydrogen. The key is a catalyst made of tungsten, iron and cobalt that is over three times more efficient than the current state-of-the-art. (Photo: Marit Mitchell)

Saving sunshine for a rainy day: New catalyst offers efficient storage of alternative energies