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Physics may seem like its own world, but different sectors using machine learning are all part of the same universe.

The Sanford Lab Homestake Visitor Center in Lead, SD has a new centerpiece. A towering three-dimensional model that includes the Open Cut and 370 miles of drifts, ramps, and shafts that make up the Sanford Underground Research Facility was made to convey the giant caverns at SURF for the Long Baseline Neutrino Facility / Deep Underground Neutrino Experiment.

Tau neutrinos were observed for the first time in 2000 at Fermilab. Today, IceCube scientists have detected high-energy tau neutrinos from deep space, suggesting that neutrino transformations occur not only in lab experiments but also over cosmic distances.

Scientists inside and outside of particle physics and astrophysics are leaning on AI for assistance with complex tasks.

Greg Stephens officially began his role as chief operating officer at Fermilab bringing more than 35 years of experience in commercial, academic, international and U.S. government operations to Fermilab.

A team from Northern Illinois University isy part of the 1,400 scientists and engineers working on the Deep Underground Neutrino Experiment. In the coming year, they will be responsible for making 300 to 400 of the photon detection modules that will be part of the much larger web of thousands of such modules at the underground Long-Baseline Neutrino Facility in South Dakota.

Researchers led by Fermilab and the University of Chicago have developed a novel new detector, the Broadband Reflector Experiment for Axion Detection, designed to look for dark matter in the form of particles known as axions and dark photons.

Six members of the University of Chicago faculty have been elected to the American Academy of Arts and Sciences, one of the nation’s oldest and most prestigious honorary societies. Included in this year’s selection is Fermilab’s Chief Research Officer, Bonnie Fleming.

Two American bison were born Friday at Fermilab— the first of about 20 bison expected to be born this spring in a 30-acre pasture at the laboratory.

For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater complexity.