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
AI researchers have predicted the structures of more than 2 million new materials, and published a list of the 381,000 most stable ones. They say their work is currently equivalent to nearly 800 years of knowledge.
Google AI Finds 800 Years of Industrial Materials in One Click pymnts.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from pymnts.com Daily Mail and Mail on Sunday newspapers.
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.