Published in Physical Review Letters, the study revolutionizes traditional methods in gravitational-wave astronomy
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An innovative artificial intelligence-based method that improves the accuracy of classifying black holes and neutron stars has been developed by a team of researchers at the University of Milano-Bicocca, led by Professor Davide Gerosa and supported by the European Research Council. The study, published in Physical Review Letters, challenges a decades-old assumption and paves the way for a more precise analysis of cosmic signals.
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