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NIST only participates in the February and August reviews. Firefighter fatalities and injuries in the U.S. remain too high and firefighting is too hazardous. Until now, firefighters do not have any tools except relying on their experience to avoid life-threatening fire events, such as flashover....
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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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. Other opportunities include temperature and illumination dependent electrical measurements, time resolved luminescence measurements and improvements in image analysis methods by applying artificial
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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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with bio-inspired sensors, and novel human-robot interaction devices. Manufacturing; Robotics; Mobility; Agility; Perception; Grasping dexterity; Collaboration; Interoperability; Artificial intelligence
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301.975.4539 Description The application of artificial intelligence (AI) in experimental material measurement science involves the union of physical infrastructure (e.g., synthesis and characterization equipment
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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