Novel approaches to banking supervision technology and regulatory technology implementation

Posted: Jun 20, 2018

• Prof. Ethan Rossi
• Prof. Harper Schmidt
• Prof. Isaac Rossi

Abstract

This research introduces a transformative framework for banking supervision and regulatory technology implementation that fundamentally reimagines traditional approaches through the integration of quantum-inspired computational methods and bio-inspired optimization algorithms. Unlike conventional regulatory technology systems that primarily focus on compliance monitoring and risk assessment through statistical models, our approach leverages neuromorphic computing architectures and swarm intelligence principles to create adaptive, self-evolving regulatory systems. The methodology combines quantum annealing techniques for optimal resource allocation in supervision with ant colony optimization algorithms for detecting complex financial crime patterns that traditional systems often miss. Our implementation demonstrates a 47