Machine Learning and Artificial Intelligence Applied to Astronomy 2March 9, 2021, from Steve Brygan
First Announcement: Machine Learning and Artificial Intelligence Applied to Astronomy 2
RAS Specialist Discussion meeting 14 May 2021
This meeting follows a successful meeting we ran in March 2019.
Data sets in astronomy are becoming extremely large and complex. The research questions that are being asked of these data are also becoming complex and in many cases the richness of the data surpasses the level of sophistication of the theoretical models. Machine learning and AI can thus be used to augment physical models for practical applications (e.g. photometric redshifts) or physical understanding (e.g. galaxy classification, model fitting).
The extreme data challenges arising from astronomy research could provide a very valuable environment for developing the skills and techniques need outside astronomy. They thus provide a potential route to socio-economic impact, important for the sustainability of the discipline.
This meeting provides us with an opportunity to share expertise and develop our skills in these important areas and explore where Astronomy pushes the boundaries of these techniques.
The meeting is open for registration and we welcome applications for talks from everyone.
Please register to attend or talk here https://forms.gle/35SZakXnM5x3CWhu9
Seb Oliver (University of Sussex) and Stephen Serjeant (Open University)