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Public lecture presented by Christopher McGuinness

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Public lecture presented by Dr. Jeremy Dahl

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KIPAC scientists have for the first time used artificial neural networks to analyze complex distortions in spacetime, called gravitational lenses, demonstrating that the method...

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In this public lecture, longtime SLAC physicist Greg Loew will present a trip through SLAC's origins, highlighting its scientific achievements, and provide a glimpse...

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When upgrades to the X-ray laser at the Department of Energy’s SLAC National Accelerator Laboratory are complete, the powerful new machine will capture up...

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Presented by Aaron Lindenberg. As we reach the limits of high-speed computation based on silicon, ideas for the next generation of computers have focused...

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Q-NEXT will tackle next-generation quantum science challenges through a public-private partnership, ensuring U.S. leadership in an economically crucial arena.

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

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

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

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Particle accelerators are used every day in a wide range of scientific, medical and industrial applications. But did you know that the task of...

stillframe public lecture super human operator

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

Particle Accelerator on a Chip

Ultimate Atomic Bling: Nanotechnology of Diamonds

Neural Nets and Gravitational Lenses

Big Machines and Big Science: 80 Years of Accelerators at Stanford

Bigger, faster, more powerful: SLAC’s new X-ray laser data system will process a million images a second

Leaving Transistors in the Dust: Visualizing the Next Computing Revolution

SLAC and Stanford become founding partners of Q-NEXT national quantum center

Q&A: How machine learning helps scientists hunt for particles, wrangle floppy proteins and speed discovery

Q-FARM initiative to bolster quantum research at Stanford-SLAC

Q&A: SLAC/Stanford researchers prepare for a new quantum revolution

Super-Human Operator: Controlling Accelerators with Machine Learning

In brief: New round of DOE awards bolsters quantum information science at SLAC