Daniel Ratner, head of SLAC’s machine learning initiative, explains the lab’s unique opportunities to advance scientific discovery through machine learning.

The newly launched Quantum Fundamentals, ARchitecture and Machines initiative will build upon existing strengths in theoretical and experimental quantum science and engineering at Stanford...

The LSST camera integration and testing team inserted a raft of nine imaging sensors into the body of the ComCam. This miniature version of...

Monika Schleier-Smith and Kent Irwin explain how their projects in quantum information science could help us better understand black holes and dark matter.

A SLAC/Stanford study of the population of satellite galaxies orbiting the Milky Way provides new clues about the particle nature of dark matter.

Two projects will look for ways to link individual quantum devices into networks for quantum computing and ultrasensitive detectors.

The Dark Energy Spectroscopic Instrument begins final testing, setting the stage for a 5-year survey that will analyze the light of 35 million galaxies.

Presented by Eric Charles. A single gamma ray carries millions of times the energy of a single photon of visible light.  This means that...

SLAC and Stanford researchers secure support for two projects that share one goal: to reduce the side effects of radiation therapy by vastly shrinking...

The leaders of SLAC's Technology Innovation Directorate discuss how their group supports the lab's most innovative projects.

Toro and Schuster are being recognized for their contributions to the design of experiments that use particle accelerators to search for dark matter particles.