A.I. and Machine Learning

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June 25, 2019
News Feature
Particle accelerators are some of the most complicated machines in science.
October 16, 2018
News Feature
To keep up with an impending astronomical increase in data about our universe, astrophysicists turn to machine learning.
August 1, 2018
News Feature
Researchers from SLAC and around the world increasingly use machine learning to handle Big Data produced in modern experiments and to study some of the most fundamental properties of the universe.
Machine Learning in HEP
June 21, 2018
News Feature
Tais Gorkhover, Michael Kagan, Kazuhiro Terao and Joshua Turner will each receive $2.5 million for research that studies fundamental particles, nanoscale objects, quantum materials and machine learning.
Photos of SLAC's 2018 Early Career Award winners
April 13, 2018
Press Release
SLAC and its collaborators are transforming the way new materials are discovered. In a new report, they combine artificial intelligence and accelerated experiments to discover potential alternatives to steel in a fraction of the time.
SLAC postdoctoral scholar Fang Ren at an SSRL beamline
January 23, 2018
News Feature
Scientists are using cutting-edge machine-learning techniques to analyze physics data.
January 9, 2018
News Feature
As members of the lab’s Computer Science Division, they develop the tools needed to handle ginormous data volumes produced by the next generation of scientific discovery machines.
SLAC Computer Science Team
December 18, 2017
News Feature
Innovations at SLAC, including the world’s shortest X-ray flashes, ultra-high-speed pulse trains and smart computer controls, promise to take ultrafast X-ray science to a whole new level.
Accelerators and Machine Learning
September 14, 2017
Press Release
It's the first to employ AI to help the grid manage power fluctuations, resist damage and recover faster from storms, solar eclipses, cyberattacks and other disruptions.
An illustration of electric grid components

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