Matrix spillover quantification measures a crucial challenge in complex learning. AI-driven approaches offer a promising solution by leveraging powerful algorithms to assess the magnitude of spillover effects between separate matrix elements. This process improves our knowledge of how information flows within neural networks, leading to improved mo