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Machine learning unravels mysteries of atomic geometry

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New research has used machine learning to find the properties of atomic pieces of geometry, in pioneering work that could drive the development of new results in mathematics.

, the key step is working out what the pattern is in a given problem. This can be very difficult, and some mathematical theories can take years to discover," says Alexander Kasprzyk.could really revolutionize mathematics as we have shown that machine learning is a powerful tool for spotting patterns in complex domains like algebra and geometry," says Professor Tom Coates.

Sara Veneziale, co-author and a Ph.D. student in the team, continues,"We're really excited about the fact that machine learning can be used in pure mathematics. This will accelerate new insights across the field."Nature Communications

 

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