Differentiable physical forward model incorporating primary beam response, PSF convolution, and scale mapping
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 mathematical framework enabling the computation of accurate predictions based on primary beam response, point spread function convolution, and scaling operations, such that the model can be optimized using gradient descent methods.