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) Artificial Intelligence (AI)-based predictions. These instruments raise concerns about safety because they rely on black-box AI models and do not contain any guardrails if physical and/or digital parts
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Consortium led to the development of the first NIST RMs in this class, with widely-used benchmark germline variant calls for seven human cell lines [1]. Artificial intelligence and machine learning hold
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RAP opportunity at National Institute of Standards and Technology NIST Generating Ontologies from Domain Corpora using Artificial Intelligence Techniques Location Information Technology
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Application of Artificial Intelligence Techniques for Acquisition and Analysis of Thermophysical and Thermodynamic Property Information NIST only participates in the February and August reviews
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RAP opportunity at National Institute of Standards and Technology NIST Coupling electronic structure methods, artificial intelligence, and data-driven approaches for next-generation quantum
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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
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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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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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medical devices, including personal care devices and patient care devices; artificial intelligence techniques for clinical diagnostic support; generating and testing ontologies and vocabularies; and novel
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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