AI in the Search for Extraterrestrial Life

This overview traces how machine learning is used across radio SETI, infrared technosignature searches, exoplanet vetting and atmospheric retrieval, and biosignature and sampling work, noting that none of these systems has established that life exists beyond Earth. It describes concrete projects including the UCLA direction-of-origin model, the 2023 Breakthrough Listen study that flagged eight signals of interest, GLOBULAR's clustering-based interference rejection, NASA's ExoMiner++, the Ariel Data Challenge, FM4AR and INARA DS1, and laboratory and field biosignature work. It also compares open datasets and tools and outlines evaluation checks such as splitting by measurement source, keeping competitive baselines and testing transfer to new environments.