Search Results for author: M. J. Graham

Found 2 papers, 1 papers with code

Applications of AI in Astronomy

no code implementations • 3 Dec 2022 • S. G. Djorgovski, A. A. Mahabal, M. J. Graham, K. Polsterer, A. Krone-Martins

We provide a brief, and inevitably incomplete overview of the use of Machine Learning (ML) and other AI methods in astronomy, astrophysics, and cosmology.

Astronomy Decision Making

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Real-Time Data Mining of Massive Data Streams from Synoptic Sky Surveys

1 code implementation • 18 Jan 2016 • S. G. Djorgovski, M. J. Graham, C. Donalek, A. A. Mahabal, A. J. Drake, M. Turmon, T. Fuchs

The nature of scientific and technological data collection is evolving rapidly: data volumes and rates grow exponentially, with increasing complexity and information content, and there has been a transition from static data sets to data streams that must be analyzed in real time.

Instrumentation and Methods for Astrophysics Databases

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