Matrix spillover quantification measures a crucial challenge in deep learning. AI-driven approaches offer a novel solution by leveraging sophisticated algorithms to analyze the level of spillover effects between distinct matrix elements. This process enhances our understanding of how information transmits within mathematical networks, leading to im