Transforming Gravitational Lens Analysis with Machine Learning

This chapter explores the integration of simulations and machine learning, specifically deep learning and CNNs, in analyzing gravitational lens data. It emphasizes the efficiency brought by machine learning in processing vast datasets while addressing challenges related to noise and domain adaptation in real-world image predictions. Additionally, the chapter discusses the promising future of these techniques in astrophysics, highlighting the potential for significant discoveries in gravitational lensing with upcoming astronomical surveys.