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

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.

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Toronto Study: Bigger Datasets Not Always Better for AI

Toronto Study: Bigger Datasets Not Always Better for AI
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Kangming Li , Jason Hattrick , Nature Communications , University Of Toronto Engineering , Toronto Engineering , Jason Hattrick Simpers , Open Catalyst Project , Materials Project , Open Quantum Materials Database ,

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… ....

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'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. ....

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'Sputtertron', among latest CFI-funded U of T projects, could help develop new materials for a greener economy

From keeping wind turbines ice-free to catalytically converting waste carbon dioxide into useful products, advanced materials will be critical for developing the sustainable technologies of the future. And a new system known as the ‘Sputtertron’ could help find them. ....

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