Astronomy and AI Beyond conventional astronomy

Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/4067

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DC Field	Value	Language
dc.contributor.author	Kumar, Amitesh	-
dc.date.accessioned	2022-11-07T10:14:42Z	-
dc.date.available	2022-11-07T10:14:42Z	-
dc.date.issued	2022	-
dc.identifier.uri	https://ir.iimcal.ac.in:8443/jspui/handle/123456789/4067	-
dc.description.abstract	One right step towards the preparation is betting on technological advancements. With the advent of data, we now have capabilities to store and process information about the universe which is growing at an astronomic rate. Scientists can now not only send robots to nearby planets but can also see if exoplanets ,which are located light years away can support life. All these applications require astronomers to analyze vast amounts of data. JW space telescope, a replacement of the Hubble telescope, which was launched in December 2021 generates around 235 GB of Data daily. The ability of AI and machine learning to sift through these huge amounts of data and analyze it, has made it an extremely attractive option for astronomers.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Students of PGDBA Post Graduate Diploma in Business Analytics, IIM Calcutta	en_US
dc.relation.ispartofseries	Vol.3;	-
dc.subject	Public Policy	en_US
dc.subject	Astronomy	en_US
dc.subject	Astrophotography	en_US
dc.subject	Extra-terrestrial life	en_US
dc.subject	Planetary defense	en_US
dc.subject	GAN ( generative adversarial network)	en_US
dc.title	Astronomy and AI Beyond conventional astronomy	en_US
dc.type	Article	en_US
Appears in Collections:	AINA 3.0 - Volume 3 Edition 2021-22

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