  Advances in machine learning methods provide tools that have broad
applicability in scientific research. These techniques are being applied across
the diversity of nuclear physics research topics, leading to advances that will
facilitate scientific discoveries and societal applications.
  This Review gives a snapshot of nuclear physics research which has been
transformed by machine learning techniques.
