<ul><li>A new artificial intelligence/machine learning method has been developed to rapidly and accurately characterize binary neutron star mergers based on the gravitational wave signature they produce.</li><li>The method has the potential to enable astronomers to quickly estimate properties such as the location and masses of the neutron stars involved in the mergers.</li><li>This information could help telescopes to target and observe the accompanying electromagnetic signals, enhancing our understanding of these events.</li><li>The new machine learning framework, trained with millions of gravitational wave simulations, can identify and localize binary neutron star mergers within a second of detecting a gravitational wave.</li></ul>

AI speeds up detection of neutron star mergers

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