Interplay of Artificial General Intelligence with Quantum Computing
Description
This book investigates the dynamic relationship between artificial general intelligence (AGI) and quantum computing. AGI refers to a form of AI capable of performing any intellectual task that a human can, while quantum computing utilizes quantum mechanics principles to process information in fundamentally different ways compared to classical computing. This interplay explores how quantum computing might enhance AGI by accelerating complex computations and optimizing learning algorithms, potentially enabling AGI systems to solve problems beyond the reach of traditional computers. It also examines the challenges and opportunities presented by combining these technologies, including theoretical implications and practical applications in advancing AI capabilities. This book examines the groundbreaking intersection of artificial general intelligence (AGI) and quantum computing. The book explores how AGI, which aims to replicate human-like cognitive abilities, can be enhanced by quantum computing's unique processing capabilities. It delves into theoretical foundations, practical applications, and potential synergies, illustrating how quantum computing could tackle complex computational challenges inherent in AGI development. By integrating these advanced technologies, the book provides a comprehensive analysis of their combined impact, offering insights into future advancements and the transformative potential of merging AGI with quantum computing.
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Persons
Dr. C Kishor Kumar Reddy is currently working as an associate professor at Dept. of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India. He has research and teaching experience of more than twelve years. He has published more than 100 research papers in national and international conferences, book chapters, and journals indexed by Scopus and SCIE. He is an author for 2 text books and 13 edited books. He acted as the special session chair for Springer, Benthem Science and IEEE conferences. He is the member of ISTE, CSI, IAENG, UACEE, and IACSIT.
Shenson Joseph is a distinguished AI researcher and data science expert. With expertise in Data Science, Analytics, and Artificial Intelligence, he has authored 2 books and authored more than 6 research papers. Shenson has judged many national and international events and actively contributes to editorial boards and conferences. He has earned a master's degree in data science and a second master's degree in electrical & computer engineering. He is IEEE senior member and associated with ACM and AAAI
Dr. Herat Joshi (is a distinguished expert in healthcare technology and informatics with more than 14 years of professional experience, currently serving as the lead of Analytics & Decision Support at Great River Health Systems in Burlington, IA, USA. With a Ph.D. in Computer Science and Engineering along with MBA in Healthcare Administration and B.Sc. degree in Computer Science and Engineering, Herat has led numerous AI-driven projects, significantly enhancing healthcare delivery and operational efficiency. He has been recognized with multiple awards for his contributions to healthcare informatics, including the Outstanding Leadership Award at the Health 2.0 Conference. He is dedicated to advancing the field of healthcare AI and mentoring the next generation of professionals. His work has been well-received by the healthcare industry and research community. Additionally, he serves as editorial reviewer for 20 prestigious journals.
Dr. Mariya Ouaissa is currently a professor in Cybersecurity and Networks at Cadi Ayyad University and practitioner with industry and academic experience. She is a Ph.D. graduated in 2019 in Computer Science and Networks, at the Laboratory of Modelisation of Mathematics and Computer Science from ENSAM-Moulay Ismail University, Meknes, Morocco. She is a Networks and Telecoms engineer, graduated in 2013 from National School of Applied Sciences Khouribga, Morocco. She is a co-founder and IT consultant at IT Support and Consulting Center. She was working for School of Technology of Meknes Morocco as a visiting professor from 2013 to 2021. She is member of the International Association of Engineers and International Association of Online Engineering, and since 2021, she has been an "ACM Professional Member." She is an expert reviewer with Academic Exchange Information Centre (AEIC) and Brand Ambassador with Bentham Science
Dr. Marlia Mohd Hanafiah is a professor and head, Centre for Tropical Climate Change System, Institute of Climate Change, the National University of Malaysia, Malaysia. Her areas of research expertise are life cycle impact assessment (LCA) and environmental foot printing of green materials and energy, environmental engineering, wastewater treatment and water management, and green technology and sustainability. She has a total academic teaching experience of 15+ years with more than 170 publications in reputed journals and online book chapter contributions (Indexed By: SCI, SCIE, SSCI, Scopus, DBLP). She received research grant and consultation (as project leader & team member) of more than RM 7 million.
Content
1. Shaping Tomorrow: The Convergence of Artificial General Intelligence and Quantum Computing.- 2. Evolution of Artificial Intelligence and Quantum Computing.- 3. Architecture of Quantum Neural Networks: Design and Implementation.- 4. Quantum- Based Computing and Machine Learning Convergence: Paving the Path to Artificial General Intelligence.- 5. Synergizing Quantum Computing and Machine Learning for Superior Artificial General Intelligence.- 6. Deep dive into Generative, Federative and Explainable Models for Integrating Artificial General Intelligence into Quantum Computing.- 7. AGI: A Transformational Paradigm: Comprehension and Navigation of Future Intelligence.- 8. Enhancing Metaheuristics: The Role of Quantum-Inspired Soft Computing.- 9. Quantum Algorithms for AGI: Unlocking the Potential of Superintelligence.- 10. Ethical AI Development: Mitigating Bias in Generative Models.- 11. Future Frontiers: The Role of AGI and Quantum Computing in Solving Complex Global Problems.- 12. Toward Autonomous Quantum Systems: AGI-Driven Self-Optimization and Quantum Computing Synergy.- 13. Quantum Machine Learning for AGI: Redefining Intelligence Through Quantum Algorithms.- 14. Quantum-Enhanced Artificial General Intelligence: Bridging Computational Paradigms.- 15. Quantum-Infused Deep Learning Frameworks Utilizing Quantum-Enhanced Feature Extraction to Propel AGI.- 16. Streamflow Forecasting in the Downstream Catchment of Mahanadi River Basin using AI and Quantum Computing.- 17. Integrating Neural Networks with Quantum Chips: Converging Two Cutting-Edge Frontiers.- 18. Orchestrating Intelligence: Governance and Leadership Frameworks for Human-AGI Collaboration in Quantum Systems.
