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AI code generators could make learning to code easier for young students, new research shows

AI code generators could make learning to code easier for young students, new research shows

New research led by PhD student Majeed Kazemitabaar reveals AI code generators show promise in making programming more accessible for novice programmers learning to code.

Computer science alumna co-develops equity-focused therapy platform featuring AI avatars

Computer science alumna co-develops equity-focused therapy platform featuring AI avatars

Three U of T grads, including computer science alumna Akanksha Shelat co-founded Mind-Easy, an adaptive mental health platform that uses artificial intelligence avatars and aims to provide culturally sensitive resources with knowledge and tools in more than 100 languages, dialects and accents.

U of T researchers advancing telescope technology for next-generation ground-based observations

U of T researchers advancing telescope technology for next-generation ground-based observations

A group of researchers including computer science PhD candidate Robin Swanson has built and installed new telescope equipment and developed machine learning algorithms to help unlock the full potential of large observatories.   

‘There’s a very large group of women who have your back’: computer science mentorship event connects female students and faculty

‘There’s a very large group of women who have your back’: computer science mentorship event connects female students and faculty

A February 22 event organized by DCSWomen brought together female faculty members and students for a panel discussion and small group conversations.

U of T students score win at NFL’s Big Data Bowl

U of T students score win at NFL’s Big Data Bowl

A trio of University of Toronto students, including third-year computer science student Daniel Hocevar are champions of the National Football League’s 2023 Big Data Bowl, one of the largest sports analytics competitions in the world.

Global News: U of T AI pioneers highlighted as key players in industry innovation

Some of the top innovators and developments in artificial intelligence have emerged from Canada in recent years, writes Global News, citing the contributions of U of T Department of Computer Science faculty and alumni.

The feature spotlights the work of University of Toronto luminary Geoffrey Hinton alongside other ‘godfathers of deep learning,’ Yoshua Bengio and Yann LeCun.

Tracing the genesis of modern advancements in AI, Global News highlights the seminal roles Hinton’s former students and alumni have played in the current AI boom, including Alex Krizhevsky and Ilya Sutskever, who is chief science officer and co-founder of OpenAI.

“I think over the next many years when people write books about the history of neural networks, which will be the history of AI, there will be huge sections dedicated to the people in Canada and what they were doing,” alumnus Nick Frosst told Global News.

Frosst is the co-founder of Toronto-based natural language processing startup Cohere, alongside fellow alumnus Aidan Gomez and Ivan Zhang, a former U of T computer science student.

Frosst points out heading to Silicon Valley isn’t necessarily the only option for those aspiring to a career in tech.

“I think that dream is less enticing to students as the years go on,” he said. “In part, it’s because Canada is getting better. There’s more opportunity here, there’s more companies, wages are going up — it’s a better place to be a developer,” Frosst told the outlet.

Read more at Global News.  

University of Toronto scientists use machine learning to fast-track drug formulation development

University of Toronto scientists use machine learning to fast-track drug formulation development

A new study co-led by Professor Alán Aspuru-Guzik demonstrates the potential for machine learning to accelerate the development of innovative drug delivery technologies.