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 ������Ƶ of Computer Science faculty and alumni.

The feature spotlights the work of University of Toronto luminary 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 .  

The University of Toronto’s Raquel Urtasun, a leading expert in machine learning and computer vision, is taking her startup’s self-driving technology for long-haul trucks out for a spin, with several autonomous vehicles ready to hit the road in the United States, according to reports.

The CEO and founder of Waabi told the that a handful of trucks are “ready to be deployed” with human drivers and engineers on-board for safety. In , Urtasun – a professor of computer science in the Faculty of Arts & Science and faculty member at the Vector Institute for Artificial Intelligence – said that Waabi will train the self-driving system to navigate any number of virtual scenarios using a simulator that harnesses the full power of AI.

She added that the approach gives Waabi an advantage over bigger competitors since it’s more efficient – and effective – than relying on real-world testing. 

“Because we can do everything on the simulator we are already ready with a generation that is much more advanced,” Urtasun told the magazine.

Waabi emerged from stealth mode in June 2021 after in funding from Silicon Valley giants such as Khosla Ventures and Uber, as well as AI luminaries including U of T's Geoffrey Hinton, a  Emeritus and Sanja Fidler, an associate professor of computer science.

Originally published on.