Researchers from SLAC and around the world increasingly use machine learning to handle Big Data produced in modern experiments and to study some of the most fundamental properties of the universe ...

A new tool to break down and segment large data set problems and problems with many parameters in particle physics could have a wide range of applications. One of the major challenges in particle ...

What is meant, when an experiment anticipates less than a quarter of an event, and four are registered by the detector? That number discrepancy lies at the heart of a new conundrum of kaons: ...