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… We define native intelligence as the specified complexity inherent in the information content of an artificial system. The artificial system is defined as a system that can be encoded …
… Under the new service paradigm, artificialintelligence (AI) can play a significant role in the new … overview of research challenges and opportunities regarding artificialintelligence for cognitive wireless …
… further ingrain the framework so that classifications of artificialintelligent agents are available universally. If … … Gaithersburg, MD, USA … PerMIS ¿07 … autonomy, artificialintelligence, standards … Standardizing Measurements of Autonomy in the ArtificiallyIntelligent …
… The field of artificialintelligence (AI), as we understand it now, got its impetus … fathers of AI, in Dartmouth in the summer of 1956. The term ArtificialIntelligence was coined at this workshop. …
… and that this predictive power is needed to develop artificialintelligence. Many theoretical constructs will overlap those … with several examples of where measurable constructs for intelligent systems are needed and proposals for some …
… The artificialintelligence (AI) revolution is upon us, with the promise of … been a topic of psychological study previously. However, ArtificialIntelligence (AI) systems pose unique challenges for user …
… This guest editorial looks at the resurgence of artificialintelligence, machine learning, and other related … … IEEE Transactions on Automation Science and Engineering … artificialintelligence, AI, robotics, machine learning, …
P J. Phillips, Amanda C. Hahn, Peter C. Fontana, David A. Broniatowski, Mark A. Przybocki
… We introduce four principles for explainable artificialintelligence (AI) that comprise the fundamental properties … … NIST Interagency/Internal Report (NISTIR) - 8312-draft … ArtificialIntelligence (AI), explainable AI, trustworthy AI …
… systems and proposes metrics more suited for evaluation of intelligent information access systems. … Jean C. Scholtz … Acapulco, MX … American Association of ArtificialIntelligence … evaluation methodology, human-computer …
Simon Taylor, Charles Macal, Andrea Matta, Markus Rabe, Susan Sanchez, Guodong Shao
… been a substantial increase in research into Simulation and ArtificialIntelligence (AI). The combination of Simulation with AI … Simulation Conference 2023 … Digital twin, Simulation, ArtificialIntelligence … Enhancing Digital Twins with …
… Robotics is a system science that attempts to integrate artificialintelligence with feedback control of mechanical devices. It … S. Albus … AGARD/NATO Consultant Mission on Robotics and ArtificialIntelligence … Robotics & Intelligent Systems … …
… data collection and post-experiment analysis—is the use of artificialintelligence (AI) and machine learning (ML) methods. In this … Synchrotron Radiation News … synchrotron, machine learning' artificialintelligence … Advancing Discovery with …
… As directed by the National ArtificialIntelligence Initiative Act of 2020 (P.L. 116-283), the goal … … NIST Trustworthy and Responsible AI - NIST AI 100-1 … ArtificialIntelligence (AI), AI, AI RMF, AI RMF 1.0, AI …
… With the growing acceptance and adoption of Industrial ArtificialIntelligence (IAI), both the academic and industrial … Sharp … NIST Interagency/Internal Report (NISTIR) - 8445 … Artificialintelligence, economic analysis, reliability …
… Intelligent artificial systems can be represented by strings of bits and the intelligence of such systems is well quantified by the … this work is begin to apply a previously published Native Intelligence Metric (NIM) to measure the specification …
Jim Davis, Stephan Biller, James A. St Pierre, Said Jahanmir
… Manufacturing and Subcommittee on Machine Learning and ArtificialIntelligence articulated cross-agency interest in the value … "Strategy for Resilient Manufacturing Ecosystems Through ArtificialIntelligence (AI)" to seek input from industry, …
… disciplines such as the neurosciences, cognitive science, artificialintelligence, and control theory. A reference model … is proposed and elaborated as a basis for engineering intelligent systems. An example is presented of how this …
… Processing in U.S. Industry--The Roles of Process Models, ArtificialIntelligence and Computer Integration, was the second of two … Report (NISTIR) - 3544 … automated materials processing, artificialintelligence, process model, computer integration …
… Research into intelligent systems and intelligent control is burgeoning. However, there is no consensus on how to define or measure an intelligent system. This lack of rigor hinders the ability …
… lines involves the advancement of machine learning (ML) and artificialintelligence (AI) to enable the intuitive use and … symposium … Smart Manufacturing and The Promotion of Artificially-Intelligent Human-Robot Collaborations in …
… What is intelligence? Where did it come from? What is its … MD … ISIC/CIRA/ISAS ''98 Conference … Robotics & Intelligent Systems, Brain Models & Neural Nets, artificialintelligence, automation, brain modelling, …
… This paper analyzes the meaning of intelligence within the domain of intelligent control. Because of historical reasons, there … and design requirements. Beginning with the definition of intelligence characteristics and performance measures, we …
… communication can best be realized with the assistance of artificialintelligence. For a combined 5G, edge computing and … of the traffic flow. For a multi- site case, we present an intelligent IoT-based mobile traffic prediction-and-control …
… A definition of intelligence is given in terms of performance that can be … Metrics for Intelligent Systems … autonomous vehicles, intelligence, intelligent systems, measures, metrics, scout … Systems, Workshop | | Measuring the Performance and Intelligence of Systems | NIST … Features of Intelligence …