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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

Farah Ghizzawi

How a passion for sustainable transportation brought this graduate student from Beirut to Toronto

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Professor Parham Aarabi (ECE) is the CEO and founder of ModiFace, a spin-off company that uses augmented reality (AR) and artificial intelligence (AI) to build advanced facial visualization software for the beauty and medical industries. ModiFace has been acquired by L'Oreal. (Credit: Johnny Guatto)

U of T Engineering AI researchers design ‘privacy filter’ for your photos that disables facial recognition systems

IBBME Professor Milos Popovic, left, speaks with an alumnus at a networking event. Popovic is the 2018 recipient of the March of Dimes Canada’s Jonas Salk Award, recognizing his sustained scientific contributions to improving the lives of people with physical disabilities. (Photo: Jonathan Sabeniano)

Milos Popovic receives March of Dimes Canada lifetime achievement award

U of T Engineering’s Team FAM

U of T Engineering students selected to compete in Canadian Reduced Gravity Experiment Design Challenge

Professor Gisele Azimi (ChemE, MSE), seen here with PhD candidate Bill Yao and undergraduate researcher Jiakai (Kevin) Zhang, leads a team dedicated to recovering strategic materials such as rare earth elements from both pre-consumer and post-consumer waste streams. (Photo: Tyler Irving)

Mining your phone: Recovering rare earth elements from e-waste