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Congratulations to the eight incoming master’s students in the Faculty of Mathematics who have been chosen as recipients of this year’s Vector Institute Scholarships in AI. The eight students are among twelve students at Waterloo, and 115 across Ontario, who will each receive $17,500 towards their groundbreaking research in AI.

“On behalf of the Government of Ontario, we’d like to congratulate the 115 talented students who are recipients of the Vector Scholarship in Artificial Intelligence,” says The Honourable Vic Fedeli, the Ontario Minister of Economic Development, Job Creation, and Trade. “Ontario is a leading source of tech and AI talent, and by fostering innovation in critical technologies, we are enabling domestic companies to compete and win on the global stage.”

The eight recipients who will begin their studies in the Faculty of Mathematics this fall are:

  • Kareena Bhalla – Master of Data Science and Artificial Intelligence
  • Yuxin Kang – Master of Data Science and Artificial Intelligence
  • Steven Song – Master of Data Science and Artificial Intelligence
  • Benjamin Schneider – MMath in Computer Science
  • Hala Sheta – MMath in Computer Science
  • Xin Yan – MMath in Computer Science
  • Lily Seebach – MMath in Data Science
  • Carolyn Wang – MMath in Data Science

You can see a full list of recipients, and learn more about the Vector Institute, on their website

Monday, April 5, 2021

The power of machine learning

“Gaining broad technical skills in artificial intelligence and data science isn’t actually that challenging,” recognized Jaskirat Bhatia. “You can find countless tutorials on Youtube that will teach you the basics. But they can’t tell you which tools to apply to which problems. They can’t guide your learning in any way.” That’s where the Master of Data Science and Artificial Intelligence (MDSAI) comes in. 

Organizations looking to benefit from the artificial intelligence (AI) revolution should be cautious about putting all their eggs in one basket, a study from the University of Waterloo has found.

In a study published in Nature Machine Intelligence, Waterloo researchers found that contrary to conventional wisdom, there can be no exact method for deciding whether a given problem may be successfully solved by machine learning tools.

Read the full story.