Challenges and Opportunities for Machine Learning in Time-Domain Astronomy
Abstract
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.
- Publication:
-
Southern Horizons in Time-Domain Astronomy
- Pub Date:
- August 2019
- DOI:
- 10.1017/S1743921318002582
- Bibcode:
- 2019IAUS..339..202B
- Keywords:
-
- Surveys;
- Methods: statistical