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A team of scientists at Los Alamos National Laboratory is applying machine-learning algorithms to subsurface imaging that will impact a variety of applications, including energy exploration, carbon capture and sequestration, …
Today, the U.S. Department of Energy (DOE) announced $4.3 million in funding for 16 projects in artificial intelligence (AI) research for high energy physics (HEP). These awards support the DOE …
Protons are tiny yet they carry a lot of heft. They inhabit the center of every atom in the universe and play a critical role in one of the strongest …
Today, the U.S. Department of Energy (DOE) announced $6.4 million in funding for three initial Department of Energy national lab-led team projects in artificial intelligence research for high energy physics. …
Oak Ridge National Laboratory researchers are developing a first-of-its-kind artificial intelligence device for neutron scattering called Hyperspectral Computed Tomography, or HyperCT. The fully automated, AI-driven platform can rotate a sample …
Scientists have developed a new machine-learning platform that makes the algorithms that control particle beams and lasers smarter than ever before. Their work could help lead to the development of …
AITO will partner with FDL to apply synergies between physics, simulation, and machine learning to clean energy, Earth science and climate resilience challenges to advance basic research at the agency. …
In 2011, physicist Javier Duarte and his friends ran the surface roads above the 17-mile circumference of the Large Hadron Collider, a subterranean particle accelerator located on the Franco-Swiss border. …
Today, the U.S. Department of Energy (DOE) announced $10 million in funding for projects in artificial intelligence (AI) research for High Energy Physics. This funding will support research that furthers …
For scientists, data is the lifeblood of research. Collecting, organizing and sharing data both within and across fields drives pivotal discoveries that make us better off and more secure. Making …
