The National Science Foundation awarded a $675,271 Project Grant to the Georgia Tech Research Corporation from October 1, 2021 to September 30, 2024 under the Computer and Information Science and Engineering program (CFDA 47.070).
The grant supports collaborative research on principled uncertainty quantification in deep learning models for time series analysis. The Computer and Information Science and Engineering program aims to advance computing and informatics research. This award will further those goals by funding the development of techniques to incorporate uncertainty assessments into deep learning analyses of time-series data. The Georgia Tech Research Corporation will oversee performance of the research at its Atlanta, Georgia location on behalf of investigators.
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