Book

Description

"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."