By applying a machine-learning algorithm, scientists at the Niels Bohr Institute, University of Copenhagen, have developed a method to classify all gamma-ray bursts (GRBs), rapid highly energetic explosions in distant galaxies, without needing to find an afterglow – by which GRBs are presently categorized.
Click here for original story, Separating Gamma-ray Bursts: Students Make A Critical Breakthrough
Source: Astronomy