nuclear physic accelerator and detector
Department of Energy Announces $5.7 Million for Research on Artificial Intelligence and Machine Learning (AI/ML) for Nuclear Physics Accelerators and Detectors
The following news release was issued by the U.S. Department of Energy (DOE). One of the projects receiving funding is aimed at developing intelligent experiments through real-time artificial intelligence (AI) to achieve fast data processing and autonomous detector control for the sPHENIX detector at the Relativistic Heavy Ion Collider (RHIC) -- a DOE Office of Science user facility at DOE's Brookhaven National Laboratory -- and for future detectors at the Electron-Ion Collider (EIC). Another project will support AI-driven detector design for the EIC. Both AI projects will be led by scientists at other DOE laboratories and universities across the U.S. Schematic for the sPHENIX detector at the Relativistic Heavy Ion Collider (left) and a preliminary concept for a future Electron-Ion Collider detector (right). WASHINGTON, D.C. - Today, the U.S. Department of Energy (DOE) announced $5.7 million for six projects that will implement artificial intelligence methods to accelerate scientific discovery in nuclear physics research.
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