Matrix spillover quantification evaluates a crucial challenge in deep learning. AI-driven approaches offer a promising solution by leveraging sophisticated algorithms to analyze the level of spillover effects between distinct matrix elements. This process improves our knowledge of how information transmits within neural networks, leading to better