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As artificial intelligence (AI) and new technologies transform the world swiftly; researchers and professionals are having to deal with new problems and opportunities, from improving efficiencies to ethical considerations.
Next-Gen AI and Emerging Tech: The New Frontier for Researchers and Industry Practitioners is a significant book that intersects technical accuracy to real-world applicability. This edited book delves into detail about agentic AI, tiny models for edge computing, persistent memory systems, multimodal intelligence, AI-driven scientific discovery, quantum-AI synergy, custom silicon, synthetic data, and the combination of AI with IoT and nanotechnology.
Specialists in their fields have contributed chapters, including theory, examples from the real world, and frameworks that may be utilized in real life. The book looks at moral, social, and legal issues to give a whole picture of how technology impacts humans. It delivers to researchers, and professionals who want to keep up with the fast-changing world of AI-driven innovation technical depth, real-world examples, and ideas for the future.
Milankumar Rana is Ph.D Researcher at University of the Cumberlands, USA and Full time Employee at Fedex. Rana is also Senior IEEE member and Holds M.S Degree in Quantitative methods and management science from Texas A & M University.
Dr. Bishwajeet Kumar Pandey is a Professor at GL Bajaj College of Technology and Management, India and a Senior Member of IEEE.
Nandita Giri is a Senior Software Engineer at Microsoft, focusing on AI Agent frameworks and enterprise API integration.
Chapter 1. Introduction: Navigating the Next Frontier of AI and Emerging Technologies; Shalini Sudarsan and Soumya Dey
Chapter 2. Agentic AI: Autonomous Agents as Industry Collaborators; Anurag Reddy Ekkati, Sai Kiran Taduri, and Naresh Reddy Nimmala
Chapter 3. Small but Mighty: Specialized Compact Models for Edge and Industry; Manish Kumar Thota and Abishek Kumar
Chapter 4. Near-Infinite Memory: Persistent Context for Research and Operations; Santhosh Kumar Veeramalla and Manish Kumar Thota
Chapter 5. Multimodal AI: Integrating Text, Images, Audio, and Video; Ajay Sundar Karuppasamy and Deepa Paikar
Chapter 6. AI-Driven Scientific Discovery: Accelerating Innovation in Labs and Industry; Ankush Rastogi
Chapter 7. Quantum-AI Synergy: Next-Level Computing for Unsolved Problems; Manish Kumar Thota and Soumya Dey
Chapter 8. Custom Silicon and AI Hardware: Powering the Next Wave; Keshav Kumar and Man Mohan Shukla
Chapter 9. Synthetic Data and Simulation: Overcoming Data Scarcity; Raghavendar Nellikondi and Reddaiah Kasturi
Chapter 10. AI Ethics, Watermarking, and Trust in Autonomous Systems; Hari Rowtu
Chapter 11. The Role of Multimodal AI in Enhancing Customer Engagement in Digital Business; Dhanabalan Thangam and Mathiraj Subramanian
Chapter 12. Artificial Intelligence-Driven Fintech: Shaping the Future of Personalised Banking Experience; Monica C and Nisha Goyal
Chapter 13. Conclusion: Synthesizing Insights for the Future; Keshav Kumar and Man Mohan Shukla