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.”
The U.S. Department of Energy awarded Farah Fahim an Early Career Research Award to investigate how deploying neural networks and machine learning on a particle detector can allow data processing at source. Her work could make data processing at detectors more efficient, improving fundamental research at physics facilities like the LHC at CERN.
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.
From Center for Data Innovation, Oct. 23, 2020: Fermilab Deputy Director Joe Lykken participates in a panel discussion on the impact quantum computing will have on AI and which sectors might benefit the most from their marriage. A video of the discussion is available in the post.
From Wired, Sept. 22, 2020: After repurposing facial recognition technology to study galaxies and the Higgs boson, physicists think they can help shape the responsible use of AI. Fermilab scientist Brian Nord talks about how these technologies advance fundamental science and the ethical implications of their use.
Funding will go towards NSF-led AI Research Institutes and DOE QIS Research Centers over five years, establishing 12 multidisciplinary and multi-institutional national hubs for research and workforce development in these critical emerging technologies. Together, the institutes will spur cutting-edge innovation, support regional economic growth and advance American leadership in these critical industries of the future.