Physics vocabulary: AI edition
Don’t know your convolutional neural networks from your boosted decision trees? Symmetry is here to help.
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Don’t know your convolutional neural networks from your boosted decision trees? Symmetry is here to help.
In December, the Particle Physics Project Prioritization Panel released its recommendations for the future of the field. Among the top priorities was research and development toward future accelerator technology, with a specific mention of the concept of building a muon collider in the U.S.
From symmetry magazine: In the culmination of a U.S. community planning process that began in late 2020, the High Energy Physics Advisory Panel has approved the recommendations of the P5 report.
Phenomenologists must make precise predictions for what they expect DUNE data to look like.
The Siena Galaxy Atlas will be a tool for research into how galaxies form and evolve, gravitational waves, dark matter and the structure of our universe.
In the 1900s, Albert Einstein unified the concepts of space and time, giving us a useful new way to picture the universe.
LuSEE-Night will demonstrate whether an experiment to search for ancient radio signals can survive the moon’s unforgiving environment.
In a race against the clock, CERN engineers and technicians pulled together to find and fix a leak inside the Large Hadron Collider.
Indirectly testing this theory, motivated by the mysterious mass of the Higgs boson, could be within reach for experiments at the Large Hadron Collider.
To understand why scientists are excited about detecting a new background, just look to the history of studies of the CMB.