Irvine, Calif. — Fully automated "deep learning" by computers greatly improves the odds of discovering particles such as the Higgs boson, beating even veteran physicists' abilities, according to findings by UC Irvine researchers published today in the journal Nature Communications.
"We are thrilled with the publication of our work," said co-author Pierre Baldi, Chancellor's Professor of computer science, "and even more so with the hope that deep learning may help solve fundamental open questions about the nature of matter, gravity and the origin of the universe."