Big Data analytics and cognitive computing - future opportunities for astronomical research

被引:6
|
作者
Garrett, M. A. [1 ]
机构
[1] ASTRON, Netherlands Inst Radio Astron, NL-7990 AA Dwingeloo, Netherlands
关键词
D O I
10.1088/1757-899X/67/1/012017
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
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页数:4
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