AI RAVEN Finds 118 Exoplanets in NASA Data

Astronomers from the University of Warwick used a new artificial intelligence tool called RAVEN to identify 118 exoplanets within NASA data ^[1]. The tool, known as Rapid Analysis and Verification of Exoplanets, analyzed information from the Transiting Exoplanet Survey Satellite (TESS) mission ^[2]. This discovery includes 31 previously unknown worlds that were hidden in existing datasets ^[1][3]. The RAVEN pipeline allows scientists to distinguish genuine planetary signals from astronomical noise with high speed ^[1]. Researchers noted that machine learning can process massive amounts of data more accurately than traditional methods ^[2]. This breakthrough highlights how automated systems are accelerating the search for alien planets across the galaxy ^[3].