ai

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.

Thursday Oct 15, 2020, 11:00 a.m. – 12:00 p.m. US/Central Speaker: Jan Offermann, University of Chicago Title: LGN: A Lorentz Group Equivariant Neural Network for Particle Physics Event page: https://indico.fnal.gov/event/46000/ Abstract:  Machine learning has been used in high-energy physics for decades, and today we see plentiful examples of neural networks designed for detector operation and analysis tasks. However, as these tools find their ways into more and more physics analyses, questions about their functionality and interpretability remain. In this talk,…

On November 9, Fermilab, University of Chicago and Argonne National Laboratory will host an online workshop focusing on strategic opportunities to collaborate on AI research: “Partnering to Advance AI Research & Development.” This event will serve as part one of the two-part “AI + Measurements” collaboration, which aims to forge new connections in research and development. A technical workshop will follow in spring 2021. Speakers will include Cheryl Ingstad, Director of the Artificial Intelligence & Technology Office (AITO) for DOE…

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.

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…