"Sometimes the hardest part isn’t letting go but rather learning to start over."
In the context of computational learning, the concept of 'probably approximately correct' (PAC) learning provides a framework for understanding the efficiency and feasibility of learning algorithms.
The energy transition starts with responsible resource extraction.