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From Quanta Magazine, June 8, 2023: A new novel network called sparse convolutional neural network is helping physicists accelerate the daunting challenge of data analysis. It provides the ability to focus on the relevant parts of data and screen out the rest. This is a historic change for the physics community and learn how it can be used in DUNE when the projects starts data later this decade.
Fermilab scientists have implemented a cloud-based machine learning framework to handle data from the CMS experiment at the Large Hadron Collider. Now they can begin to use graph neural networks to boost their pattern recognition abilities in the search for new particles.
From Quanta Magazine, March 11, 2019: The latest AI algorithms are probing the evolution of galaxies, calculating quantum wave functions, discovering new chemical compounds and more. Is there anything that scientists do that can’t be automated? Fermilab scientist Brian Nord comments on using artificial neural networks to study the cosmos.
Artificial intelligence analyzes gravitational lenses 10 million times faster.