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.

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

David Cesar, Julia Gonski and W.L. Kimmy Wu will each receive $2.75 million issued over five years for their research in X-ray and ultrafast science, new physics and primordial gravitational waves.

The Center for Energy Efficient Magnonics (CEEMag) brings together a multidisciplinary group of researchers from SLAC and seven universities

Improvements to the lab’s “electron camera” use AI and “time stamping” to help reveal nature’s speedy processes more accurately. 

Four engineers discuss their journeys to working at SLAC and counsel those following in their footsteps.

Line intensity mapping measurements taken with a new instrument will allow astrophysicists to study galaxies too far away for traditional methods.

SLAC researcher Sadasivan Shankar talks about a new environmental effort starting at the lab – building a roadmap that will help researchers improve the energy efficiency of computing, from devices like cellphones to artificial intelligence.