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analytical processes for comparing traditional and AI-augmented analysis Build infrastructure for capturing observable traces of human-AI analytical interactions Develop tools and metrics to quantify accuracy
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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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relevant to the project or projects in weekly group meetings; 2) identify and/or develop hypotheses and methods for advancing the research effort; 3) design and carry out computer experiments 4) collaborate
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: Background in signal processing, network science, or statistical physics applied to time series and/or complex systems analysis. Familiarity with PNT data, spatiotemporal datasets, or related domains