AI

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.

From U Chicago News, August 8, 2023: University of Chicago has announced that the Indian Institute of Technology Bombay has joined the Chicago Quantum Exchange to promote cooperation in fields such as quantum information science, climate and energy, advanced microelectronics, artificial intelligence and data science. The announcement was made at at the G20 summit in New Delhi, India and joins the CQE as one of only five international partners.

Particle physicists are building innovative machine-learning algorithms to enhance Monte Carlo simulations with the power of AI.

Associate scientist Jennifer Ngadiuba received two top awards last fall to advance artificial intelligence and machine-learning research in high-energy physics.

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 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.

From the Department of Energy, Aug. 17, 2020: Seven DOE national laboratories, including Fermilab, will lead a total of 14 projects aimed at both automating facility operations and managing data modeling, acquisition, mining, and analysis for the interpretation of experimental results. The projects involve large X-ray light sources, neutron scattering sources, particle accelerators and nanoscale science research centers.