Neural networks for neutrinos

Scientists are using cutting-edge machine-learning techniques to analyze physics data. Particle physics and machine learning have long been intertwined. One of the earliest examples of this relationship dates back to the 1960s, when physicists were using bubble chambers to search for particles invisible to the naked eye. These vessels were filled with a clear liquid that was heated to just below its boiling point so that even the slightest boost in energy--for example, from a charged particle cr...