SLAC and Stanford researchers demonstrate that brain-mimicking ‘neural networks’ can revolutionize the way astrophysicists analyze their most complex data, including extreme distortions in spacetime that are crucial for our understanding of the universe.
The summer school explored upcoming opportunities to expand our understanding of the universe and its fundamental physics, from mysterious dark matter to recently detected gravitational waves.
Kumar’s work, carried out in part at SSRL, explains how memristors work – a new class of electronic devices with applications in next-generation information storage and computing.
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.
Researchers have reached another milestone in the development of a promising technology that could lead to more efficient and powerful particle accelerators.
A SLAC/Stanford study opens a new path to producing laser pulses that are just billionths of a billionth of a second long by inducing ‘high harmonic generation’ in a solid.
The results are an important step in designing these solid-state devices for computer memories that would operate much faster, last longer and use less energy than today’s flash memory.
