Dynamic Graph Learning for Adaptive Fraud Detection: Architectures, Challenges, and Frontiers

Executive Summary The detection of financial fraud has undergone a paradigm shift, moving from the analysis of isolated transactions to the holistic examination of complex, interconnected networks. Traditional machine learning Read More …

The Emergence of Autonomic Infrastructure: A Reinforcement Learning Approach to Self-Evolving Systems

Part I: The Foundations of Autonomy This report provides a definitive analysis of Self-Evolving Infrastructure, an emergent operational paradigm where digital systems autonomously mutate their own topologies and configurations using Read More …