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 techxplore.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from techxplore.com Daily Mail and Mail on Sunday newspapers.
Toronto Study: Bigger Datasets Not Always Better for AI miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.
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…
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.