AI

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.

The Genesis Mission is leveraging the strength of the U.S. Department of Energy’s 17 national laboratories, including Fermilab, alongside American research universities and industry partners. The collaborative effort aims to supercharge innovation by integrating the transformative power of artificial intelligence across the national research landscape.

Fermilab’s FAST/IOTA accelerator test facility has successfully accelerated and stored its first proton beams, marking a major milestone in the lab’s R&D program for next-generation particle accelerator technology. This achievement paves the way for breakthroughs in high-intensity beam physics, artificial intelligence applications and innovations that will power future experiments like the Deep Underground Neutrino Experiment.

Fermilab researchers have provided expertise and leadership in developing an open-source framework that enables the design of hardware capable of making split-second decisions. These advances aim to prioritize the enormous volumes of data produced by some of humanity’s most ambitious physics experiments.

Throughout this year, Fermilab’s dedicated scientists, engineers, technicians and operations staff came together to drive discoveries, advance American innovation and prepare the lab for a bright future.

President Trump issued an Executive Order on November 24 to launch the Genesis Mission, a historic national effort led by the US Department of Energy.

Tara Shears, a physics professor from the University of Liverpool, discusses
what AI can do for physics and what physics can do for AI.

To aid in the search for elusive dark matter, Kevin Pedro looks for ways to harness the capabilities of artificial intelligence for analyzing particle collision data. For this work, Pedro was awarded the 2024 Universities Research Association Honorary Early Career Award.

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

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