Machine learning revives dark matter as explanation for Milky Way's gamma-ray glow

At the luminous, chaotic heart of our galaxy, a decades-old glow refuses to yield its secret. A team from the University of Vienna and Lawrence Berkeley National Laboratory has applied machine learning to over a million simulated gamma-ray observations, and in doing so has quietly unsettled what many considered a settled debate. The Galactic Center Excess—that broad wash of gamma rays emanating from the Milky Way's core—may yet be the fingerprint of dark matter, a possibility that had been largely set aside in favor of neutron stars. Science, it seems, has been reminded that premature certaint