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 ...
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 ...
As particle accelerator technology moves into the high-luminosity era, the need for extreme precision and unprecedented collision energy keeps growing. Given also the Laboratory's desire to reduce ...
Machine learning could help reveal undiscovered particles within data from the Large Hadron Collider
Scientists used a neural network, a type of brain-inspired machine learning algorithm, to sift through large volumes of particle collision data. Particle physicists are tasked with mining this massive ...
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 ...
The volume of data particle physicists have to sort through at the Large Hadron Collider is staggering, and it’s about to increase by an order of magnitude. To cope with this torrent of data, CERN is ...
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 ...
A machine that will investigate the forces that hold matter together finally has a home. On Thursday, the US Department of Energy announced that the long-awaited Electron-Ion Collider (EIC), a type of ...
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 ...
On March 30th, humanity is scheduled to start running the biggest, baddest particle collider ever constructed, the one that makes its closest competitor, Fermi’s Tevatron, so out-of-date that the ...
D-Wave system shows quantum computers can learn to detect particle signatures in mountains of data, but doesn’t outpace conventional methods — yet. A rudimentary quantum computer has rediscovered the ...
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 ...
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