Kavli Institute for Particle Astrophysics & Cosmology (KIPAC)
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Artificial Intelligence Analyzes Gravitational Lenses 10 Million Times Faster
Menlo Park, Calif. — Researchers from the Department of Energy’s SLAC National Accelerator Laboratory and Stanford University have for the first time shown that neural networks – a form of artificial intelligence – can accurately analyze the complex distortions in spacetime known as gravitational lenses 10 million times faster than traditional methods.
Video: Dark Matter Hunt with LUX-ZEPLIN
Researchers at the Department of Energy’s SLAC National Accelerator Laboratory are on a quest to solve one of physics’ biggest mysteries: What exactly is dark matter – the invisible substance that accounts for 85 percent of all the matter in the universe but can’t be seen even with our most advanced scientific instruments?
Three SLAC Scientists Receive DOE Early Career Research Grants
Symmetry: A New Search for Dark Matter 6,800 Feet Underground
Standard Model of the Universe Withstands Most Precise Test by Dark Energy Survey
Fermi Satellite Observes Billionth Gamma Ray with LAT Instrument
Origin of Milky Way’s Hypothetical Dark Matter Signal May Not Be So Dark
Symmetry: Dark Matter Next Door? (Q&A)
Symmetry: 2016 year in particle physics
Scientists furthered studies of the Higgs boson, neutrinos, dark matter, dark energy and cosmic inflation and continued the search for undiscovered particles, forces and principles.
