"Fueling Black Holes: The Role of Cold Gas and Machine Learning"

Astronomers are using machine learning to identify black hole mergers in early galaxies, with a study showing that software trained by experts can achieve over 80% accuracy in identifying active black holes. The research revealed that the growth of supermassive black holes is linked to the presence of large quantities of nearby cold gas, rather than galactic mergers, indicating a connection between the growth of galaxies and their black holes. As astronomical data collection continues to grow, the combination of skilled observers and software will be essential for effective analysis.