  The renewed interest from the scientific community in machine learning (ML)
is opening many new areas of research. Here we focus on how novel trends in ML
are providing opportunities to improve the field of computational fluid
dynamics (CFD). In particular, we discuss synergies between ML and CFD that
have already shown benefits, and we also assess areas that are under
development and may produce important benefits in the coming years. We believe
that it is also important to emphasize a balanced perspective of cautious
optimism for these emerging approaches
