Stephen Hawking, speaking at the University of Cambridge in 1980, explored the possibility of a theory of everything that unites general relativity and quantum mechanics (the two main descriptions of reality) into one neat and comprehensive equation. . He thought he would need the help of a computer. He then made provocative predictions about the growing capabilities of these machines. may be in.”
Artificial intelligence has achieved a lot since then, but physicists have been slow to use it to search for new and deeper laws of nature. It’s not that they’re afraid of work. Indeed, Dr. Hawking may have had his tongue firmly in his cheek. Rather, it is the deep-learning algorithms behind AI spewing out answers that correspond to “what” rather than “why,” as useful to theorists as answering questions of life and the universe. to And everything is 42.
Aside from finding a way to make deep learning algorithms speak the language of physicists. Harness the power of AI to scrutinize massive data sets looking for hidden patterns and extract meaningful results: equations. “We are moving into the discovery phase,” he said. Steve Blanton at the University of Washington in Seattle.
I’m not saying that Dr. Hawking was right. Far from facing extinction, theoretical physicists may have found the ultimate collaborator. Their current challenge is to figure out which aspects of the human theorist’s playbook should be incorporated into their machine counterparts, so they don’t get bogged down in the same way as we do.
symbolic…
Corrected article on December 8, 2022
Fixed Tycho Brahe’s nationality
