External

From CNRS, Aug. 30, 2019: A scientist at the French National Center for Scientific Research talks about neutrinos and the international Deep Underground Neutrino Experiment, hosted by Fermilab, in this 2-minute video.

From DOE, Sept. 6, 2019: U.S. Secretary of Energy Rick Perry announces the establishment of the DOE Artificial Intelligence and Technology Office. The secretary has established the office to serve as the coordinating hub for the work being done across the DOE enterprise in artificial intelligence. This action has been taken as part of the President’s call for a national AI strategy to ensure AI technologies are developed to positively impact the lives of Americans.

Working on hardware doesn’t come easily to all physicists, but Francesca Ricci-Tam has learned that what matters most is a willingness to put in the practice.

Żurek shares her experiences at the 2019 Lindau Nobel Laureate Meeting —from a blimp flight with Ada E. Yonath, who won the Nobel Prize in Chemistry in 2009, to a panel discussion she participated in with three Nobel laureates about navigating a career path in science.

From Kane County Connects, Sept. 3, 2019: As part of a number of grants to national laboratories and universities offered through its QuantISED program, DOE’s recent round of funding to Fermilab covers three initiatives related to quantum science. It also funds Fermilab’s participation in a fourth initiative led by Argonne National Laboratory.

From Washington Post, Aug. 31, 2019: The social media network is packed with great science photos, and the grand­daddy of all labs, CERN, also runs a behemoth of an Insta feed. The world’s largest particle physics lab, CERN is home to the Large Hadron Collider, a mammoth particle accelerator that is surprisingly photogenic.

The Cherenkov Telescope Array will combine experimental and observatory-style approaches to investigate the universe’s highest energies.

A composer has given new life to an amplifier used within a historically significant particle accelerator.

In science, making data open means making available, free of charge, the observations or other information collected in a scientific study for the purpose of allowing other researchers to examine it for themselves, either to verify it or to conduct new analyses. There are barriers to making scientific data open, but doing so has already contributed to scientific progress.

From MIT News, Aug. 19, 2019: A new prototype machine-learning technology co-developed by Fermilab and MIT scientists speeds Large Hadron Collider data processing by up to 175 times over traditional methods.