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Challenges and Opportunities for Machine Learning in Time-Domain Astronomy

Invited talk

Published online by Cambridge University Press:  29 August 2019

B. Bassett
B. Bassett*
Affiliation:
AIMS, SAAO, and University of Cape Town, South Africa email: bruce.a.bassett@gmail.com
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Abstract

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The recent spectacular progress in machine learning and artificial intelligence opens up exciting opportunities for time-domain and transient astronomy. This talk outlined the fundamental challenges that we will need to overcome in order to realise that potential, from discovering completely new classes to fully-automated follow-up campaigns.

Keywords

SurveysMethods: statistical
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 14 , Symposium S339: Southern Horizons in Time-Domain Astronomy , November 2017 , pp. 202
Copyright
© International Astronomical Union 2019