The muon collider was once dismissed as impossible, but is now gaining steam as the successor to the Large Hadron Collider.
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 ...
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 ...
Scientists have used CERN's Large Hadron Collider (LHC) to uncover what they say is an entirely new type of particle, dubbed ...
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 ...
A new particle collider is set to be built at the Brookhaven National Laboratory in Long Island, New York. Particle colliders smash charged particles against one another at nearly the speed of light ...
Stanford researchers built a particle accelerator that fits on a chip, miniaturizing a technology that can now find new applications in research and medicine. On a hill overlooking Stanford University ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results