Fermilab recently hosted over 500 physicists for the American Physical Society’s biennial Division of Particles and Fields meeting. With presentations by Fermilab Director Norbert Holtkamp and CERN Director-General Mark Thomson, the meeting provided particle physicists the opportunity to come together and consider the future of high-energy physics research.

The experiment, designed to measure the magnetic moment of the muon, is also sensitive to a particle property called the electric dipole moment.

Alex Drlica-Wagner of Fermilab and other researched deployed an AI learning model where to point a telescope and predict what happened next, then compare its guess with what the humans actually did and made it correct itself.

DUNE researchers are preparing for data analysis by developing AI systems to sort through huge amounts of data, identify neutrino interactions, spot signs of a stellar explosion and even detect problems inside the detector.

The University of Alabama and Fermilab received an award from the Genesis Mission to build an AI tool to help sift through floods of data, speeding up the pace of discovery so scientists can focus on the science itself.

DUNE is pioneering the future of neutrino research by integrating artificial intelligence into its experiment, drawing on decades of machine learning work at Fermilab.

A four-year project to produce two HL-ZDCs for one of the CMS collider’s main detectors was approved for funding. The detectors will be fabricated and assembled at KU’s Mechanical Prototyping Lab, tested with high-energy particle beams at Fermilab and installed at CERN for the next phase of physics research at the supercollider.

The SQMS Centre has achieved a significant advance in quantum search algorithms using qudit-based Grover search. This Grover search offers a solution to the limitations of traditional qubit systems, particularly as quantum computers scale beyond simple designs.

Scientists have been testing the limits of the DUNE detectors after they subjected the prototype detector to an extreme 300,000-volt stress trial, before it is installed deep underground in the US.

Northwestern University, University of Chicago and Fermilab scientists have developed a new AI tool that automatically determines where a telescope should point.