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materials. The primary focus of this work is on mechanical characterization, microstructural analysis, and finite element analysis (FEA) and artificial intelligence (AI)/machine learning (ML) modeling
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, and micro-pulse LIDAR. CANDLE (Calibration using an Artificial Star with NIST-traceable Distribution of Luminous Energy) is a NASA-funded project to design, build, and test a precision SI-traceable
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Ravel bruce.ravel@nist.gov 631.344.3613 Description Develop methods of applying machine learning and artificial intelligence to synchrotron experimentation. This opportunity will be focused on operations
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artificial intelligence (AI) to provide humans with actionable intelligence, is envisioned as a disruptive catalyst for this future of smart manufacturing. Augmented intelligent solutions use on-machine
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areas include the development of interpretable and trustworthy algorithms for Scientific Artificial Intelligence and active learning, integrating FAIR data management practices throughout the research
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technologies such as neuromorphic computing and artificial intelligence. Work involves studying individual devices, building prototype circuits, and theoretically analyzing new architectures utilizing exotic
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Information Technology Laboratory, Applied and Computational Mathematics Division NIST only participates in the February and August reviews. Machine Learning (ML) and artificial intelligence (AI
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design and data analysis at the NCNR using techniques such as reinforcement learning. key words AI; Machine Learning; Artificial Intelligence; Neutron; Eligibility citizenship Open to U.S. citizens level
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; Precision medicine; Data science; Artificial intelligence
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of traditional scientific intelligence with artificial intelligence (AI) to provide humans with actionable intelligence. Augmented intelligent solutions use on-machine sensors for measurements before and during