AI

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.

Researchers with Department of Energy national laboratories are working together alongside industry collaborators to support Genesis Mission goals by using the power of artificial intelligence to significantly reduce design times of custom computer chips for use in extreme temperature, high-radiation and ultra-fast environments.

With a sharp focus on Fermilab’s core scientific mission, Norbert Holtkamp is establishing clear priorities and a disciplined strategy that align the laboratory with the nation’s most ambitious research goals. His leadership is positioning Fermilab for long‑term success.

In coordination with six other national labs, Fermilab is developing AI tools to increase the efficiency and innovation in particle accelerators as part of the Department of Energy’s Genesis Mission.

Aleksandra Ćiprijanović will use artificial intelligence to solve the domain shift problem in high-energy physics research. Fermilab’s computing capabilities make it uniquely positioned to support this project.

Rice University recently hosted an international workshop focused on integrating cutting-edge AI and ML technologies for the DUNE project led by Fermilab. Rice’s BioScience Research Collaborative collaborators to tackle the monumental computational challenges posed by DUNE and to strategize on leveraging AI’s transformative capabilities within the field of particle physics.