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research are computational models ranging in complexity from semi-empirical aero prediction models to CFD models of varying complexity. Windtunnel and free flight experiments serve to complement and validate
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Networks (DNNs) sparsity. The compute-intensive floating-point 32-bit representation represents remaining non-zero valued network parameters. These approaches need to be improved to develop a real-time
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intelligence. ARL Advisor: Aaron St. Leger ARL Advisor Email: aaron.stleger@westpoint.edu About CISD The Computational and Information Sciences Directorate (CISD) conducts research in a variety of disciplines
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stochastic process. ARL Advisor: Jade L. Freeman ARL Advisor Email: jade.l.freeman2.civ@army.mil KEYWORDS: AI, Reinforcement Learning, Graphical Neural Network, Computational modeling, Optimization, Bayesian
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for information foraging & conversational search. ARL Advisor: Stephanie Lukin ARL Advisor Email: stephanie.m.lukin.civ@army.mil About CISD The Computational and Information Sciences Directorate (CISD) conducts
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Organization DEVCOM Army Research Laboratory Reference Code ARL-C-CISD-300154-SIS Description About the Research This research develops computational methods that enable robots to perceive and
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. Applicants for the research category should possess a B.S. or higher degree in applied math, computer science, physics, engineering or a related discipline and have C++ programming skills, MATLAB, Python, and
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development and implementation of EEG-based, passive brain-computer interfaces (BCIs) for optimization of human-machine teams, such as exoskeletons for physical augmentation in defense applications. The aim
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behavior as a means of improving human-autonomy team outcomes. We are recruiting from a broad range of disciplines and academic levels, but applicants are expected to have expertise with computational and
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, biological materials, biological/abiological interfaces, and biological effect. About ARL-RAP The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase