This is probably a naive question: can we input a bunch of particle interactions into a deep learning system and train it to predict the probability of future interactions? It would be like a "black box version" of physics. If we can predict, then we can find a more elegant mathematical notation and a more intuitive physical interpretation.
Machine learning can observe and learn patterns that are more complex than humans can grasp. What if the perfect Physics theory is more complex than humans can understand and possibly quite unintuitive in meaning? Then we won't like it and steer away from it, and that would be a bad thing in the end.
Machine learning can observe and learn patterns that are more complex than humans can grasp. What if the perfect Physics theory is more complex than humans can understand and possibly quite unintuitive in meaning? Then we won't like it and steer away from it, and that would be a bad thing in the end.