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, fined tuned for zooming in on machine spatial reasoning, is within the scope of this project. Developing efficient algorithms for converting computer simulations of a system in a complex environment (e.g
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, fined tuned for zooming in on machine spatial reasoning, is within the scope of this project. Developing efficient algorithms for converting computer simulations of a system in a complex environment (e.g
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of faculty at SUNY Polytechnic Institute and the University of South Florida, consisting of mathematicians, physicists, computer scientists, and engineers investigating applications of deep learning
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robots and swarms are both within the scope of the project. The appointment is for one year, renewable for a second year given the availability of funds. The focus is on fundamental properties of simulated
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fundamental properties of simulated neural networks, like neural scaling laws, as they manifest in metrics specific to robotics and impact robotics applications. The thrust of the research is multidisciplinary