AI Astrobiology: A Regularly Updated Survey of Machine-Learning Approaches to Life Detection and Biosignatures

To the point

AI-driven life-detection research in astrobiology pools diverse machine-learning approaches—from imaging and neural networks to chemistry-and data-analysis methods—highlighted by work from Lesnikowski, Cleaves, Corenblit, Galvez-Serna, Hendrix, Warren-Rhodes, Kinney, Kempes, McDonald, and Storrie-Lombardi, illustrating a growing shift toward AI-enabled biosignature discovery within NASA's exploration program.