Carnegie Mellon University Launches Initiative to Automate Discovery of Astrophysical Phenomena
Automated methods for discovering astrophysical phenomena by sifting through massive amounts of cosmological data are being developed by researchers at Carnegie Mellon University,
Johns Hopkins University and the University of Washington under a new three-year, $1.6 million grant from the U.S. Department of Energy (DOE).
The methods proposed by the research team will enable astrophysicists to capitalize on a new generation of telescopes being constructed over the next decade. The tools, based on machine learning principles, would be unique in their ability to not only spot strange new objects that merit in-depth study, but also to identify larger patterns in observational data that could provide insights into the evolution of the universe. These techniques will have applications in biological and other physical sciences.
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Source: Carnegie Mellon University & HPC Wire
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