Ciela is a research institute, with the mission to contribute to breakthrough discoveries in astrophysics by developing new computational data analysis methods.
Catch Julie Hlavacek-Larrondo in her latest BBC interview, exploring how stupendously large black holes can get! 🌌✨ Dive into the mysteries of these cosmic giants with this fascinating conversation! https://t.co/VB7Hdl7SXN
#BBC#Ciela#Astrophysics
Score-based Likelihood Characterization (SLIC)-an ML method for tackling non-Gaussian noise in astronomical images! In our new blog post, Ronan Legin shows the ‘SLIC trick’ to learn the noise distribution from images enhancing parameter inference accuracy.
https://t.co/FegTsWFxtw
Exploring the cosmos using machine learning: Alexandre Adam from @Ciela enhances Hubble images to JWST quality, revealing the untapped potential of images to convey vast information. Discover how modeling data as images revolutionizes cosmos understanding. https://t.co/AeAgy0ArEj
We are proud to announce the beginning of the Ciela blog at the Ciela Institute! We will be sharing our work combining machine learning with many fields of astrophysics. Stay tuned! 🚀