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research on trustworthy AI, focusing on methods that improve the transparency, reliability, and interpretability of intelligent systems in safety-critical domains like autonomous driving.
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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focused on autonomic dysfunctions following spinal cord injury (SCI) for more than 20 years. He has developed a multi-disciplinary laboratory that is internationally recognized for expertise in autonomic
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within the prestigious European Research Council (ERC) Consolidator Grant “Reinventing Multiterminal Coding for Intelligent Machines (IONIAN)". More on the ERC IONIAN project: https://shorturl.at/dTG0q
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Decision-Making in Networks of Autonomous Agents”, which aims to develop a new methodological framework to improve decision-making in autonomous systems. The project combines high-frequency radio sensing and
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RAP opportunity at National Institute of Standards and Technology NIST Autonomous MOF Synthesis for Direct Air Capture Sorbents Location Material Measurement Laboratory, Materials Measurement
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🎯 Research Vision The next generation of software engineering tools will move beyond autocomplete and static code generation toward autonomous, agentic systems — AI developers capable of planning
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of the eight Fulton Schools, houses a vibrant and dynamic engineering research community in robotics and autonomous systems (learn more at http://robotics.asu.edu and http://ras.engineering.asu.edu ). We seek
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for Enhancing Decision-Making in Networks of Autonomous Agents”, which aims to develop a new methodological framework to improve decision-making in autonomous systems. The project combines high-frequency radio
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terrestrial systems HybridNet Lab: Validation of large-scale autonomous and heterogeneous network orchestration QCI Lab: Quantum communication and QKD research across all network layers TelecomAI Lab: AI-based