How can machine learning help astronomers find Earth-like exoplanets? This is what a recently accepted study to Astronomy & Astrophysics hopes to address as a team of international researchers investigated how a novel neural network-based algorithm could be used to detect Earth-like exoplanets using...
...using data from the radial velocity (RV) detection method. This study holds the potential to help astronomers develop more efficient methods in detecting Earth-like exoplanets, which are traditionally difficult to identify within RV data due to intense stellar activity from the host star.
This is what machine learning is useful for. Not to try to convince you that oranges are active and potatoes are passive, or to give you a thumbs up with 7~8 fingers. But to detect patterns and allow automation of repetitive tasks.