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a multidisciplinary research team focused on developing energy-efficient and fault-tolerant AI systems that can operate reliably in the radiation-rich environment of space. The project integrates
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a multidisciplinary research team focused on developing energy-efficient and fault-tolerant AI systems that can operate reliably in the radiation-rich environment of space. The project integrates
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, especially the toroidal spectrometer, construction and commissioning of the MOLLER detector at Jefferson Lab ● Development of the SOLID software framework, tracking algorithms, DAQ subsystem and various
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, especially the toroidal spectrometer, construction and commissioning of the MOLLER detector at Jefferson Lab ● Development of the SOLID software framework, tracking algorithms, DAQ subsystem and various
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learning and optimal control theory, with a focus on their applications to next-generation MRI systems. Train deep neural networks: perform quantitative data analysis, collect and analyze data, including
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learning and optimal control theory, with a focus on their applications to next-generation MRI systems. Train deep neural networks: perform quantitative data analysis, collect and analyze data, including