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.
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.
From the University of Chicago, May 12, 2020: A round of AI + Science grants awarded by the University of Chicago’s Office of Research and National Laboratories Joint Task Force Initiative supports new AI applications to boost scientific discovery and education. Awardees include Fermilab scientists Brian Nord, Charles Thangaraj and Nhan Tran.
From Gizmodo, May 5, 2020: Fermilab scientist Brian Nord weighs in on the question of how automated devices, such as an autonomously operating telescope, free from human biases and complications, could find the solutions to questions about dark matter and dark energy.
Register now for the Artificial Intelligence (AI) Jamboree on Feb. 13, in Curia II. https://indico.fnal.gov/event/23008/ Find out the connections between HEP & AI as well as a few ongoing applications across Fermilab. Then, stick around for coffee and snacks as you share your AI projects and proposals with experts and enthusiasts by making an AI flyer. This event is organized in conjunction with National Engineers Week Organization: Aisha Ibrahim, Kyle Hazelwood, Burt Holzman, Marco Mambelli, Brian Nord, Bill Pellico, GabrielPerdue,…
Join us for the inaugural Computational Science Seminar sponsored jointly by the University of Chicago, Argonne National Laboratory and Fermilab on Tuesday, Nov. 12, from 10:30 to 11:30 a.m. at the University of Chicago (Watch remotely at https://fnal.zoom.us/j/720265198, or watch the simulcast at the Racetrack-WH7X). SCD’s Nhan Tran is the speaker. https://indico.fnal.gov/event/22307/ Abstract: In the first of the joint seminar series to build connections between the University of Chicago, Argonne, and Fermilab, we will highlight current activities in…
Speaker: Nhan Tran (FNAL) Tuesday, November 12, 2019 from 10:30 to 11:30 (US/Central) Attend in person at University of Chicago, John Crerar Library, Kathleen A Zar Room (first floor) Watch simulcast at Fermilab, Racetrack (WH7X) Watch remotely with Zoom (link to be provided soon – See https://indico.fnal.gov/event/22307/) Abstract: In the first of the joint seminar series to build connections between the University of Chicago, Argonne, and Fermilab, we will highlight current activities in Artificial Intelligence (AI) at Fermilab. Machine…
From APS’s Physics, Oct. 3, 2019: Fermilab scientist Brian Nord imagines a future where machines test hypotheses on their own — and considers the challenges ahead as scientists embrace artificial intelligence techniques. Nord has begun applying AI to problems in astronomy, such as identifying unusual astronomical objects known as gravitational lenses. He spoke to Physics about his recent projects and how he thinks AI will change the way researchers do science.
From UChicago News, Oct. 1, 2019: AI technology is increasingly used to open up new horizons for scientists and researchers. At the University of Chicago, researchers are using it look for supernovae, find new drugs and develop a deeper understanding of Earth’s climate. University of Chicago and Fermilab scientist Brian Nord is partnering exploring a “self-driving telescope:” a framework that could optimize when and where to point telescopes to gather the most interesting data.