A.I. and Machine Learning
Particle accelerators are some of the most complicated machines in science. Scientists are working on ways to run them with a diminishing amount of direction from humans.
To keep up with an impending astronomical increase in data about our universe, astrophysicists turn to machine learning.
Scientists are using cutting-edge machine-learning techniques to analyze physics data.
Menlo Park, Calif. — Researchers from the Department of Energy’s SLAC National Accelerator Laboratory and Stanford University have for the first time shown that neural networks – a form of artificial intelligence – can accurately analyze the complex distortions in spacetime known as gravitational lenses 10 million times faster than traditional methods.