From Forbes, June 28,2021: Fermilab’s Don Lincoln highlights top applied research that has been funded by the federal government and the National Science Foundation.

From NOIR Lab, June 25, 2021: The DECam designed, built and tested by Fermilab and funded by DOE, collected the data that lead to the discovery of a giant comet discovered by two astronomers from the University of Pennsylvania.

From Chicago Star Media, May 28, 2021: Fermilab’s Anna Grasselino talks with Chicago Star Media about the solutions quantum computers will bring to weather forecasting, traffic studies, financial modeling, and more.

From Discover, June 23, 2021: Muons drew the attention of physicists around the world after an experiment at Fermilab demonstrated that they’re far more magnetic than expected.

From University of Chicago News, June 18, 2021: Fermilab’s muon g-2 result announced in April has theorists scratching their heads about muons behaving slightly differently than predicted in their giant accelerator.

from CERN, June 21, 2021: Yesterday, CERN held a first stone ceremony for Science Gateway, the Laboratory’s new flagship project for science education and outreach.

From the Black Hills Pioneer, June 20, 2021: The former Homestake Gold Mine was the largest and deepest in the western hemisphere and today it is the largest science project attempted on U.S. soil. The LBNF/DUNE includes a collaboration of more than 1,300 scientists from 32 countries. Read more about the significant impacts LBNF/DUNE is having on South Dakota.

From L’Embarque (France), June 17, 2021: The MLCommons consortium which Fermilab is a part of, announced a new benchmark that defines targets in a variety of use cases implementing “compact” (tiny) neural networks typically weighing 100 KB, or even less.

From Science Magazine, June 17, 2021: Fermilab is part of the research group at the University of Wisconsin-Madison which has found evidence that computer errors are correlated across an entire superconducting quantum computing chip — highlighting a problem that must be acknowledged and addressed in the quest for fault-tolerant quantum computers.

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.