AI

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.

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.

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.

Don’t know your convolutional neural networks from your boosted decision trees? Symmetry is here to help.

A research team as part of the the Dark Energy Survey collaboration used artificial intelligence to research dark energy more precisely from a map of dark and visible matter in the Universe covering the last seven billion years. The new AI technique allowed researchers to use much more information from the maps than would be possible with the previous method.

The Trillion Parameter Consortium was recently launched bringing together science teams to address key challenges in advancing AI for science. Fermilab is part of this international group that includes researchers from federal laboratories, research institutes, academia, and industry.