  The origin of high-energy cosmic rays, atomic nuclei that continuously impact
Earth's atmosphere, has been a mystery for over a century. Due to deflection in
interstellar magnetic fields, cosmic rays from the Milky Way arrive at Earth
from random directions. However, near their sources and during propagation,
cosmic rays interact with matter and produce high-energy neutrinos. We search
for neutrino emission using machine learning techniques applied to ten years of
data from the IceCube Neutrino Observatory. We identify neutrino emission from
the Galactic plane at the 4.5$\sigma$ level of significance, by comparing
diffuse emission models to a background-only hypothesis. The signal is
consistent with modeled diffuse emission from the Galactic plane, but could
also arise from a population of unresolved point sources.
