A new review in Nature chronicles the many ways machine learning is popping up in particle physics research. Experiments at the Large Hadron Collider produce about a million gigabytes of data every ...

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For years, physicists at CERN tracked a phantom disruption inside the Super Proton Synchrotron. Computer simulations pointed to a specific resonance structure that trapped particles on invisible ...

Five hundred thousand times per second, the Electron-Ion Collider (EIC) will record a collision.

A team of scientists has devised a machine learning algorithm that calculates, with low computational time, how the ATLAS detector in the Large Hadron Collider would respond to the ten times more data ...

Operators of Jefferson Lab's primary particle accelerator are getting a new tool to help them quickly address issues that can prevent it from running smoothly. The machine learning system has passed ...

Ten years ago, a team operating the world’s largest particle collider made history by discovering the Higgs boson particle, a finding key to understanding the creation of the universe, earning it the ...

Scientists have developed a new machine-learning platform that makes the algorithms that control particle beams and lasers smarter than ever before. Their work could help lead to the development of ...

You have reached your maximum number of saved items. Remove items from your saved list to add more. Director Mark Levinson's ambitious, disarming documentary is full of superlatives and extremes, but ...

Operators of the primary particle accelerator at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility are getting a new tool to help them quickly address issues that can ...