Or why we should keep an eye on transfer learning. This is one of the promising way to get a more efficient machine learning process. Might come with its own challenges in methodology complexity though, it'll likely be easy to do it wrong and to notice that too late.

A reminder of why machine learning is currently so power hungry. It's in fact (still) highly inefficient.