In machine learning, scientists can “train” a computer system or artificial intelligence to do something - like classifying information or simulating models - without giving it explicit instruction. Instead, they let the computer figure the problem out itself.
Astrophysicist Shirley Ho of the Flatiron Institute and Carnegie Mellon University and her colleagues used machine learning to see if computers can simulate the universe … and were completed baffled that not only had the AI simulated the universe, but that it could simulate it so well:
What it does is accurately simulate the way gravity shapes the Universe over billions of years.
"It's like teaching image recognition software with lots of pictures of cats and dogs, but then it's able to recognise elephants," said astrophysicist Shirley Ho of the Flatiron Institute and Carnegie Mellon University.
(via Science Alert)
image credit: (NASA/CXC/PSU/L. Townsley et al/UKIRT//JPL-Caltech) via Science Alert