AI Omnibus: Industrial Robots, Trading Bots & Digital Doctors

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Bol "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."

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"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."


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Merk Eliva Press
EAN
  • 9789999329309
Maat


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