Artificial Intelligence uncovers more than 100 new worlds in NASA data
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An artist’s impression of a planet so close it to its star that it completes an orbit in 10.5 hours. Credit: NASA, ESA, and A. Schaller (for STScI).
An artificial intelligence tool developed at the University of Warwick has uncovered a rich haul of previously hidden exoplanets in data from NASA’s Transiting Exoplanet Survey Satellite (TESS), validating more than 100 worlds and identifying thousands more candidates.
The new system, called RAVEN (RAnking and Validation of ExoplaNets), was ap
An artificial intelligence tool developed at the University of Warwick has uncovered a rich haul of previously hidden exoplanets in data from NASA’s Transiting Exoplanet Survey Satellite (TESS), validating more than 100 worlds and identifying thousands more candidates.
The new system, called RAVEN (RAnking and Validation of ExoplaNets), was ap
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