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.
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From Gizmodo, June 21, 2021: Early career scientists like Jessica Esquivel are driving innovations at major experiments like muon g-2 at Fermilab.
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.
Whether in Serbia or Chicago, Fermilab postdoctoral researcher Aleksandra Ćiprijanović is working to unlock the secrets of the night sky. As a member of the Deep Skies Lab, an international collaboration of physicists, she’s figuring out how to use artificial intelligence and machine learning to better handle the huge amounts of data needed for discovery science.
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.