Two challenges in the field of artificial intelligence have been solved by adopting a physical concept introduced a century ago to describe the formation of a magnet during a process of iron bulk cooling. Using a careful optimization procedure and exhaustive simulations, researchers have demonstrated the usefulness of the physical concept of power-law scaling to deep learning. This central concept in physics has also been found to be applicable in AI, and especially deep learning.