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.
You are invited to explore today’s most innovative technology products at the Fermilab Virtual Cyber Tech Day (Technology Day) being held on Wednesday, Dec. 16. The exposition will feature: AI Machine Learning, Cloud Computing, Storage, Cybersecurity, Operational Technology, Wireless Technologies, Virtualization, Big Data and much more! Exhibiting companies will include: Apple, Holmans, Adobe, IBM, Google Cloud, Dell Technologies, Red Hat Tanium and many more! The exhibitors will be available to demonstrate their products and field questions. There will also be opportunities…
You are invited to explore today’s most innovative technology products at the Fermilab Virtual Cyber Tech Day (Technology Day) being held on Wednesday, December 16 from 9:30 a.m. to 1:30 p.m. CST. The exposition will feature: AI Machine Learning, Cloud Computing, Storage, Cybersecurity, Operational Technology, Wireless Technologies, Virtualization, Big Data and much more! Exhibiting companies will include: Apple, Holmans, Adobe, IBM, Google Cloud, Dell Technologies, Red Hat Tanium and many more! The exhibitors will be available to demonstrate their products…
An important part of the new vision for IARC at Fermilab is increasing regional engagement – capturing activities that bring regional institutions together to exchange information and resources and increase our collective impact. As an early step toward this new vision, Fermilab, along with University of Chicago and Argonne National Laboratory, hosted an online workshop on Nov. 9 focusing on strategic opportunities to collaborate on artificial intelligence research: “Partnering to Advance AI Research & Development.”
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.
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.