In 1980, Stephen Hawking considered the possibility of a theory of everything that would unite general relativity and quantum mechanics – our two leading descriptions of reality – into one neat, all-encompassing equation
We would need some help, he reckoned, from computers
Artificial intelligence has achieved much since then and yet theoretical physicists have been slow to adopt it
This is largely because the deep-learning algorithms behind AIs spit out answers that amount to a “what” rather than a “why”
https://www.newscientist.com/definition/artificial-intelligence-ai/…
By combining deep learning and a technique called symbolic regression - which essentially runs through various possible mathematical operations and combinations of physical variables - AIs are able rediscover known laws of physics from raw data, such as Newton's laws of gravity
Applied to the glut of new astrophysical data, an algorithm called PySR is beginning to discover new equations that describe diverse and interrelated features of the cosmos