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Home
News & Press
Latest News
Research Highlights
Media Enquiries
Journals
Monthly Notices of the RAS (MNRAS)
Geophysical Journal International (GJI)
RAS Techniques & Instruments (RASTI)
Editorial Boards & Team
Editorial Policies
Advancing Astronomy & Geophysics
Events
RAS Bicentennial Event
RAS Meetings
External Meetings
Public Lectures & Events
Friends of the RAS Events
Past Events
Event Videos
Poster Display
GCSE Poster Competition 2022 – Sponsored by Winton
Library
Visiting & Using the Library
Library Services
Archives
Other Collections
Help with your Research
Treasures from the Library & Archives
Obituaries
Awards & Grants
Fellowships
Awards, Medals and Prizes
Grants for Studies in Astronomy and Geophysics
Education & Outreach
Podcast
Education
Outreach
Careers
Outreach Map
RAS200
Resources
Early Careers
About the RAS
Bicentenary
Burlington House
Bye-laws
Committees
Contacts
Council
Diversity
Sustainability
A&G
Membership
Fellows Membership
Friends of the RAS
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NAM 2024
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Friday, March 8, 2019
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Transitioning Research and Instrument Expertise in Heliophysics into Space Weather Monitoring Capabilities at L1 and L5
SNMachine: automated photometric transient classification for LSST
Real-time classification of explosive transients using deep recurrent neural networks
Galaxy classification with Machine Learning
Strong lens detection using AI
Machine Learning application on Galaxy Morphological Classification by using Dark Energy Survey images
Learning the relationship between Galaxy Spectra and their Star Formation histories
The growing role of machine learning in radio continuum surveys
Transfer learning for radio galaxy classification
Investigating cosmic magnetism with deep learning
Applications of machine learning to asteroid shape modelling
Constraining cosmic reionization history and model parameters using machine learning
RAS Ordinary Meeting
Observing the first stars
The Gaia Sausage - the Head-on Merger that Battered our Galaxy
Transitioning Research and Instrument Expertise in Heliophysics into Space Weather Monitoring Capabilities at L1 and L5
Heavy elements in red giant stars
Machine Learning and Artificial Intelligence applied to astronomy