The detector for the international Deep Underground Neutrino Experiment will collect massive amounts of data from star-born and terrestrial neutrinos. A single supernova burst could provide as much as 100 terabytes of data. A worldwide network of computers will provide the infrastructure and bandwidth to help store and analyze it. Using artificial intelligence and machine learning, scientists are writing software to mine the data – to better understand supernovae and the evolution of our universe.

From Live Science, April 29, 2020: One of the deepest mysteries in physics could be explained by a long-since vanished form of dark matter. Fermilab scientist Dan Hooper is one of the authors of the new result. If an ancient form of dark matter decayed out of existence, that loss would have decreased the mass of the universe, which would have led to less gravity holding the universe together, which would have affected the speed at which the universe expands — helping explain the disagreement between measurements of the universe’s expansion.