AI

In a project selected for funding by the Department of Energy’s Genesis Mission, Fermi National Accelerator Laboratory and partners from other national laboratories, universities and industry will apply artificial intelligence and machine learning to enable precise and adaptive resonance control in particle accelerators. Their work aims to lower operating costs by millions of dollars each year and improve accelerator performance, driving scientific discovery.

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.

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

The awards will support Fermilab projects by leveraging AI to boost innovation and technology development, advance DOE’s Genesis Mission and accelerate scientific discovery.

The Fermi Data Platform was selected as a key partner for DOE’s Genesis Mission’s American Science Cloud, providing petabytes of storage, robust data-access tools and deep institutional expertise to ensure the data can be used to its fullest potential for AI-enhanced scientific research.

The U.S. Department of Energy’s Genesis Mission is building a new era of AI-driven scientific discovery — and it requires far more than powerful supercomputers to succeed. To support this national effort, Fermilab’s Fermi Data Platform is providing secure, large-scale data infrastructure needed to make advanced AI research possible across the American Science Cloud.

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.