In this episode, Payel and Nicole delve into more JWST discoveries and the frontier of machine learning in astronomy - an ultra-deep view of the cosmic web, machine-learning deep images to look for mergers, a direct collapse black hole explanation to Little Red Dots, machine-learning the Milky Way to reveal complex star formation histories of accreted systems, and the earliest nuclear stellar disc observed to date. Check out the papers below.

An ultra-high-resolution map of (dark) matter - Diana Scognamiglio et al.

Convolutional Neural Networks for classifying galaxy mergers: Can faint tidal feature ...