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07/26/2022
Interpretable AI forecasting for numerical relativity waveforms of quasicircular, spinning, nonprecessing binary black hole mergers
We present a deep-learning artificial intelligence model (AI) that is ca...
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06/13/2020
Deep Learning at Scale for the Construction of Galaxy Catalogs in the Dark Energy Survey
The scale of ongoing and future electromagnetic surveys pose formidable ...
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04/20/2020
Physics-inspired deep learning to characterize the signal manifold of quasi-circular, spinning, non-precessing binary black hole mergers
The spin distribution of binary black hole mergers contains key informat...
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03/18/2020
Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure
Significant investments to upgrade or construct large-scale scientific f...
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11/26/2019
Enabling real-time multi-messenger astrophysics discoveries with deep learning
Multi-messenger astrophysics is a fast-growing, interdisciplinary field ...
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02/01/2019
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era
This report provides an overview of recent work that harnesses the Big D...
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12/05/2018