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DUNE uses AI to transform the future of neutrino research
DUNE is pioneering the future of neutrino research by integrating artificial intelligence into its experiment, drawing on decades of machine learning work at Fermilab.
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Using AI, Fermilab researcher probes how transistors behave in extreme cold
Olivia Seidel’s work draws on Fermilab’s deep expertise in microelectronics and cryogenic devices to support key goals of the Genesis Mission — a sweeping U.S. Department of Energy artificial intelligence initiative.
Fermilab marks major milestone for world-leading DUNE experiment
An event at the far site of the Deep Underground Neutrino Experiment at the Sanford Underground Research Facility in South Dakota marked the start of steel beams being lowered underground to house DUNE’s massive particle detectors. The event was attended by senior leaders from the Department of Energy; members of Congress; Fermilab, CERN and SURF leadership; and members of the local community, all of whom had the chance to sign one of the steel beams being installed.
Fermilab and Harmoniqs integrate open-source tools to advance qubit control optimization
Fermilab developed the Quantum Instrumentation Control Kit, or QICK, as a compact, customizable and cost-effective quantum readout and control option for scientists. Harmoniqs, a quantum computing software company, developed Piccolo.jl, a quantum control and calibration software package. Together, their developers are integrating the two to achieve precise, repeatable qubit control, providing better results in less time.
Fermilab marks 70 years of neutrino science and leads next-generation experiment
As Fermilab commemorates 70 years since the discovery of the neutrino at the Savannah River Site in the United States, the lab also celebrates its multiple generations of pioneering neutrino research. Today, Fermilab is building the next era of neutrino discovery through the development of the world-leading Deep Underground Neutrino Experiment.
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The telescope that points itself
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.
US lab to hunt most elusive ‘ghost particles’ deep underground with automated triggers
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.
AI meets particle physics in UA-Led Department of Energy project
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.
With new Department of Energy award, KU-Fermilab team builds next-generation detectors for CERN’s Large Hadron Collider
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.
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