AI and machine learning

Surfing a plasma wave, electrons get an energy and brightness boost.

The SLAC team is developing digital twins – powered by AI and high-performance computing – to help quickly shape high-quality particle beams for the lab’s X-ray and ultrafast facilities.

A new machine learning algorithm rapidly reconstructs 3D images from X-ray data. 

His visit highlighted the breadth of our world-class research and the people and collaborations that make it possible. A key theme of the day: how SLAC and the National Labs are advancing AI to accelerate discovery.

With a suite of reimagined instruments, researchers take up scientific inquiries that were out of reach just one year ago. 

Researchers aim to refine control room tools, improve training, and pave the way for smarter cooperation between humans and machines by studying how operators think and act under pressure.

The microelectronics that power daily life and speed discoveries in science and technology are the focus of a bold new vision to make them more energy efficient and able to operate in extreme environments.

AI is playing a key role in helping SLAC researchers find new galaxies and tiny neutrinos, and discover new drugs.

Researchers across the lab are developing AI tools to harness data and particle beams in real time and make molecular movies, speeding up the discovery process in the era of big data.

SLAC is leading an effort to build a network that will enable AI and machine learning to steer experiments and more.

The prototype DUNE 2x2 detector will capture up to 10,000 neutrino interactions per day.

Digital design engineer Abhilasha Dave’s passion for connecting machine learning and hardware is helping SLAC solve big data challenges.