Big Data analytics and Cognitive Computing: future opportunities for Astronomical research
Abstract
The days of the lone astronomer with his optical telescope and photographic plates are long gone: Astronomy in 2025 will not only be multi-wavelength, but multi-messenger, and dominated by huge data sets and matching data rates. Catalogues listing detailed properties of billions of objects will in themselves require a new industrial-scale approach to scientific discovery, requiring the latest techniques of advanced data analytics and an early engagement with the first generation of cognitive computing systems. Astronomers have the opportunity to be early adopters of these new technologies and methodologies: the impact can be profound and highly beneficial to effecting rapid progress in the field. Areas such as SETI research might favourably benefit from cognitive intelligence that does not rely on human bias and preconceptions.
Cite
@article{arxiv.1406.7021,
title = {Big Data analytics and Cognitive Computing: future opportunities for Astronomical research},
author = {Michael Garrett},
journal= {arXiv preprint arXiv:1406.7021},
year = {2015}
}
Comments
4 pages, 1 figure. Paper presented at 2nd Radio and Antenna Days of the Indian Ocean (RADIO 2014)