Matrix spillover quantification measures a crucial challenge in advanced learning. AI-driven approaches offer a promising solution by leveraging sophisticated algorithms to assess the magnitude of spillover effects between distinct matrix elements. This process improves our understanding of how information flows within neural networks, leading to i