Verifying the stability of planetary systems using a machine learning algorithm
An article published in “The Astrophysical Journal Letters” describes the development and the application of machine learning algorithms to verify the stability of planetary systems. A team of researchers at the University of Toronto Scarborough led by Dan Tamayo experimented this new approach to this type of astronomical research by creating a method a thousand times faster than conventional ones.
