machine learning in astronomy

Machine learning in astronomy involves using algorithms and statistical models to analyze vast amounts of astronomical data. This technology helps researchers identify patterns, classify celestial objects, and detect anomalies in data that would be difficult for humans to discern. For instance, machine learning can assist in discovering new exoplanets by analyzing light curves from stars or identifying gravitational waves. By automating data processing, it enhances our understanding of the universe, enabling faster discoveries and unlocking insights from complex datasets that are increasingly generated by modern telescopes and observatories.