There is no doubt that there is a revolution going on in machine learning and artificial intelligence, but what does it mean for physics? Is it all hype, or will it transform the way we think about and do physics?
I will describe machine learning from a physicist's perspective and isolate a few research areas that I think may be transformative. I will spend some time unpacking physicists' healthy skepticism and trepidation about the use of machine learning, and reformulate those concerns into quantitative or operational objectives. I will also advocate the idea of physics-aware machine learning, which involves machine learning techniques imbued with physics knowledge.