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U of T Study Suggests Larger Datasets Aren't Always Better for Training AI Models – India Education | Latest Education News | Global Educational News

A new study by researchers at the University of Toronto suggests that one of the fundamental assumptions of deep learning artificial intelligence models – that they require enormous amounts of training data to make accurate predictions – may not be a

New study finds bigger datasets might not always be better for AI models

Toronto Study: Bigger Datasets Not Always Better for AI

U of T's Alán Aspuru-Guzik on robot labs, his massive research grant--and how he's like a vampire

OTTAWA Even among the $1.4 billion in grants for 11 major university research projects the federal government pledged at the end of April, the $199.5 million…

'Self-driving' AI lab awarded $200M grant to pursue new drugs, materials

The Acceleration Consortium designs new materials with AI and synthesizes them in-house with autonomous robots a process that speeds up scientific discovery by decades, it says.