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A recently released update to the QS subject ranking for Data Science and Artificial Intelligence puts the University of ��ݮ��Ƶ .��

The results are part of the annual QS World University Rankings by Subject, which rank approximately 1,600 universities in 54 disciplines. Indicators for the subject rankings are drawn from a peer review survey, employer survey, citations data and collaboration data.��

“The new rankings from QS show the ways that data scientists at ��ݮ��Ƶ are leading innovation in the field and providing opportunities for our students to learn from the absolute best,” said M. Tamer Özsu, co-director of the Graduate Data Science Program and a professor of computer science. “Achieving this recognition only five years since the start of the program shows it’s an exciting time to be working in data science and artificial intelligence at ��ݮ��Ƶ.” 

Melissa McCorriston has received a  from the . These $17,500 scholarships recognize promising scholars and researchers in Ontario and support their further studies in a top provincial artificial intelligence–related master’s program.

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 ��ݮ��Ƶ has found.

In a study published in Nature Machine Intelligence, ��ݮ��Ƶ 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.

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