Physics-informed neural network framework
it's built with special "brain cells" that are trained to understand the way light behaves when it reaches our telescope. It then uses a combination of its knowledge and a deep understanding of the universe.
Technical definition
A theoretical framework utilizing artificial neural networks that incorporate physical principles into their architecture, facilitating the development of robust solutions in areas characterized by complex laws of physics like radio synthesis imaging.