artificial intelligence

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.

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

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.

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.

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.

From the DOE Office of Science, October 6, 2022: Fermilab will receive part of the $6.4 million in funding for artificial intelligence research for high energy physics as announced by the Department of Energy Office of Science. Fermilab principal investigator, Jennifer Ngadiuba received the grant for the project, “Designing Efficient Edge AI with Physics Phenomena.”

Fast electronics and artificial intelligence are helping physicists working on experiments with massive amounts of data, such as the CMS experiment, decide which data to keep and which to throw away.

Whether in Serbia or Chicago, Fermilab postdoctoral researcher Aleksandra Ćiprijanović is working to unlock the secrets of the night sky. As a member of the Deep Skies Lab, an international collaboration of physicists, she’s figuring out how to use artificial intelligence and machine learning to better handle the huge amounts of data needed for discovery science.

From AI Business, June 16, 2021: Fermilab was part of a consortium helping in the development of the TinyML benchmark from MLCommons to measure machine learning performance that will bring intelligence to devices like wearables, thermostats, and cameras.

From The New York Times, Nov. 23, 2020: It might be possible, physicists say, but not anytime soon. And there’s no guarantee that we humans will understand the result. Fermilab Deputy Director of Research Joe Lykken is quoted in this piece on using artificial intelligence to discover laws of physics.