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.
Physics can assist with key challenges in artificial intelligence
