In the News

January 23, 2018

Symmetry Magazine

Neural networks for neutrinos

By Diana Kwon

“All these big physics experiments are really very similar at the machine learning level,” says Pierre Baldi, a computer scientist at the University of California, Irvine. “It's all images associated with these complex, very expensive detectors, and deep learning is the best method for extracting signal against some background noise.”

Read the full story at Symmetry Magazine.
Neural networks for neutrinos


< Previous
Autism numbers spike: The latest call to action
Next >
Reactions to “Gaming Disorder” Classification