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| Paper: |
Artificial Intelligence in Astronomy |
| Volume: |
435, Binaries – Key to Comprehension of the Universe |
| Page: |
57 |
| Authors: |
Devinney, E. J.; Prša, A.; Guinan, E. F.; DeGeorge, M. |
| Abstract: |
From the perspective (and bias) as Eclipsing Binary researchers, we give a brief overview of the development of Artificial Intelligence (AI) applications, describe major application areas of AI in astronomy, and illustrate the power of an AI approach in an application developed under the EBAI (Eclipsing Binaries via Artificial Intelligence) project, which employs Artificial Neural Network technology for estimating light curve solution parameters of eclipsing binary systems. |
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