AI OMNIBUS

This monograph synthesizes cutting-edge advances in artificial intelligence (AI) and their industrial financial and biomedical applications. It first establishes a unified framework for multi-agent reinforcement learning (MARL) in distributed environments then explores the integration of large language models (LLMs) with domain-specific challenges such as high-frequency trading and robotic process automation (RPA). A dedicated section analyzes blockchain's role in securing federated learning pipelines with empirical validations from smart manufacturing and telemedicine case studies. The concluding chapter addresses scalability and regulatory hurdles in cross-sector AI deployment.