AI RAVEN Discovers 118 Exoplanets in NASA TESS Data

Astronomers at the University of Warwick identified 118 new exoplanets using a specialized artificial intelligence pipeline named RAVEN ^[1][3]. This system analyzed complex data from NASA’s Transiting Exoplanet Survey Satellite (TESS) to find planetary signals that previous automated methods missed ^[2]. The discovery includes 31 previously unknown worlds orbiting distant stars ^[1]. The RAVEN system significantly improves the precision of mapping planetary populations, specifically around stars similar to our Sun ^[3]. According to the researchers, this AI-driven approach allowed them to validate over 100 candidates by filtering out false signals more efficiently ^[1][2]. This progress helps scientists understand how common different types of planets are across the galaxy ^[3].