Inverse problems involve determining the underlying causes or parameters from observed effects or data, often requiring sophisticated mathematical and computational techniques due to their ill-posed nature. These problems are prevalent across various scientific fields, including medical imaging, geophysics, and machine learning, where direct measurement of desired quantities is challenging or impossible.