Why you should care about federally funded science
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.
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Giant comet found in outer solar system by Dark Energy Survey
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.
Quantum physics puts Chicago on the map
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.
Could misbehaving muons upend the known laws of physics?
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.
What the Muon g-2 results mean for how we understand the universe
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.
CERN lays first stone of Science Gateway
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.
SURF activities impact SD economy
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.
MLCommons consortium refines benchmark for low-power embedded neural motors
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.
Correlated errors in quantum computers emphasize need for design changes
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.
MLCommons launches machine learning benchmark for devices like smartwatches and voice assistants
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.