Generative AI for Next-Gen Defence Strategies
Lingua: inglese
Editore: Taylor & Francis Ltd Okt 2026, 2026
- Rilegato
- Nuovo

Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Venditore AbeBooks dal 14 agosto 2006
Condizione: Nuovo
EUR 250,98
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Neuware - Explores the manifold role of Generative AI in enhancing defence capabilities and its potential to transform future warfare. It comprises 3 sections. The first discusses the fundamentals of Generative AI and its strategic significance in modern defence sector. This section sets the foundation for understanding how these technologies are shaping current defence strategies and providing a competitive edge. The second explores the application of Generative AI across military, aerospace and naval domain. This section starts by exploring the use of Generative AI for Strategic and Operational Planning, Battlefield Simulation and Training, and development of Autonomous Vehicles and Exoskeletons. The section also covers the use of Generative AI in Drone Swarms, Autonomous Navigation, and Mission Control, as well as its role in maintaining and monitoring Aerospace Infrastructure. Advanced applications such as Radar Systems, Underwater Drones, and Naval Robotics are also discussed in the section. Additionally, the predictive capabilities of Generative AI, including Trajectory Prediction and Failure Prediction for ships and aircraft, and its significance in Naval Warfare and Underwater Sensing have been explored. It also examines the critical role of Generative AI in Cyber Security and Network Defence. The last section of the book addresses the challenges of Generative AI in Defence and the ethical considerations that need to be addressed while using Generative AI in Defence sector. This section also critically assesses the potential threats posed by Generative AI in Cognitive Warfare, highlighting the need for robust ethical frameworks and policies to mitigate risks.The book will be useful for defence professionals, researchers, and technologists who want to understand the transformative potential of Generative AI in defence and attempts to inspire innovative thinking and foster a deeper understanding of the strategic value of Generative AI.Key Features: - Provides comprehensive coverage of Generative AI in Defence along with providing foundational knowledge of Generative AI making it accessible to both beginners and experts in defence and AI. - Explores the strategic role of Generative AI in enhancing military preparedness and operational planning. - Provides detailed insights into the use of Generative AI for military, aerospace, and naval applications, such as battlefield simulation, autonomous systems, and drone swarms and cutting-edge use cases like trajectory prediction, radar optimization, and underwater robotics. - Examines emerging trends, challenges, and ethical considerations of Generative AI in defence. - Aids policymakers, defence strategists, and AI researchers.…
Codice articolo 9781041123491
- Titolo
- Generative AI for Next-Gen Defence Strategies
- Autore
- P. K. Mishra
- Editore
- Taylor & Francis Ltd Okt 2026
- Anno di pubblicazione
- 2026
- Condizione
- Neu
- Rilegatura
- Buch
- Lingua
- inglese
- ISBN 10
- 1041123493
- ISBN 13
- 9781041123491
- Peso dell'articolo
- 930 grammi
- Dimensioni
- 234x156x35 mm
Explores the manifold role of Generative AI in enhancing defence capabilities and its potential to transform future warfare. It comprises 3 sections. The first discusses the fundamentals of Generative AI and its strategic significance in modern defence sector. This section sets the foundation for understanding how these technologies are shaping current defence strategies and providing a competitive edge. The second explores the application of Generative AI across military, aerospace and naval domain. This section starts by exploring the use of Generative AI for Strategic and Operational Planning, Battlefield Simulation and Training, and development of Autonomous Vehicles and Exoskeletons. The section also covers the use of Generative AI in Drone Swarms, Autonomous Navigation, and Mission Control, as well as its role in maintaining and monitoring Aerospace Infrastructure. Advanced applications such as Radar Systems, Underwater Drones, and Naval Robotics are also discussed in the section. Additionally, the predictive capabilities of Generative AI, including Trajectory Prediction and Failure Prediction for ships and aircraft, and its significance in Naval Warfare and Underwater Sensing have been explored. It also examines the critical role of Generative AI in Cyber Security and Network Defence. The last section of the book addresses the challenges of Generative AI in Defence and the ethical considerations that need to be addressed while using Generative AI in Defence sector. This section also critically assesses the potential threats posed by Generative AI in Cognitive Warfare, highlighting the need for robust ethical frameworks and policies to mitigate risks.
The book will be useful for defence professionals, researchers, and technologists who want to understand the transformative potential of Generative AI in defence and attempts to inspire innovative thinking and foster a deeper understanding of the strategic value of Generative AI.
Key Features:
- Provides comprehensive coverage of Generative AI in Defence along with providing foundational knowledge of Generative AI making it accessible to both beginners and experts in defence and AI.
- Explores the strategic role of Generative AI in enhancing military preparedness and operational planning.
- Provides detailed insights into the use of Generative AI for military, aerospace, and naval applications, such as battlefield simulation, autonomous systems, and drone swarms and cutting-edge use cases like trajectory prediction, radar optimization, and underwater robotics.
- Examines emerging trends, challenges, and ethical considerations of Generative AI in defence.
- Aids policymakers, defence strategists, and AI researchers.
"Riassunto" può appartenere a un’altra edizione di questo titolo.
Informazioni sull’autore
Jeetendra Kumar has a PhD in Computer Science from GLA University Mathura, India. He has been an Assistant Professor in the Department of Computer Science and Application at Atal Bihari Vajpayee University, Bilaspur, India for the last 11 years. He has published research articles in reputed journals and conferences, including topics like sentiment analysis, fall detection using machine learning techniques, IoT applications, automatic question generation, etc. He has also contributed book chapters on topics related to neuroscience, smartphone applications, and fog computing in healthcare. He has recently published an edited volume. Dr. Kumar has completed a couple of significant research projects. He is also a member of prestigious academic societies such as IEEE, the Indian Science Congress, the International Association of Engineers (IAENG), the International Computer Science and Engineering Society (ICSES), and the International Association of Academicians (IAASSE).
Rashmi Gupta holds a PhD in Computer Applications from the NIT, Raipur, India. Currently, she is an Assistant Professor in the Department of Computer Science and Application at Atal Bihari Vajpayee University Bilaspur, Chhattisgarh, India. She has over 11 years of teaching experience, her research interests encompass Natural Language Processing, EEG signal processing, and Human activity recognition. She has published over 25 research papers, conference papers, and book chapters. He has been awarded grants by AICTE to organize the ATAL Faculty Development Program and by the Science and Engineering Research Board, DST, for conducting High-end Workshops and Internships. Demonstrating her commitment to mentorship, Dr. Gupta has guided over 30 PG and 20 UG students in their research-related major projects. She has published one edited volume. With over 10 years of teaching experience, her research interests encompass Natural Language Processing, EEG signal processing, and human activity recognition. She is also a member of prestigious academic societies such as IEEE, the Indian Science Congress, the International Association of Engineers (IAENG), the International Computer Science and Engineering Society (ICSES), and the International Association of Academicians (IAASSE).
P. K. Mishra is Professor at the Department of Computer Science, Institute of Science, Banaras Hindu University, Varanasi, India. He is a Fellow of the Institute of Mathematical Analysis (UK) and a Senior Member of IEEE (USA). His research interests include AI, Generative AI, Advanced Machine and Dep Learning Algorithms and Applications in Next generation of Computing, Internet of Things, High performance computing, Data Analytics etc. Prof Mishra has published 6 books with reputed publishers. He has published more than 150 publications in SCI/ Scopus and Q1/ Q2 listed journals. Prof Mishra has executed many extramural projects and visited many countries for academic and research purposes.
Gaurav Dhiman has a PhD in Computer Engineering from Thapar Institute of Engineering & Technology, Patiala, India and has also completed his Master’s Degree of Computer Applications from the same institute. He is an Assistant Professor in the School of Sciences and Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Patiala, India. His research has been recognized at the highest level, as he has been named one of the world’s top researchers by Stanford University, USA list of world’s top 2% scientists prepared by Elsevier. He is the senior member of IEEE. He has also received accolades for his outstanding reviewer work from Knowledge-Based Systems (Elsevier). He has authored over 300 peer-reviewed research papers, all of which are indexed in SCI-SCIE, and 10 international books.
Valentina E. Balas is a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a PhD Cum Laude, in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 350 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is the Editor-in Chief to International Journal of Advanced Intelligence Paradigms and to International Journal of Computational Systems Engineering, member in Editorial Board member of several national and international journals and is evaluator expert for important projects and PhD Thesis. Dr. Balas is the director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad and Director of the Department of International Relations, Programs and Projects in the same university. She served as General Chair of the International Workshop Soft Computing and Applications in nine editions organized in the interval 2005-2020 and held in Romania and Hungary. Dr. Balas participated in many international conferences as Organizer, Honorary Chair, Session Chair, member in Steering, Advisory or International Program Committees and Keynote Speaker. Recently she was working in a national project with EU funding support: BioCell-NanoART Novel Bio-inspired Cellular Nano-Architectures - For Digital Integrated Circuits, 3M Euro from National Authority for Scientific Research and Innovation. She is a member of European Society for Fuzzy Logic and Technology, member of Society for Industrial and Applied Mathematics and a Senior Member IEEE, member in Technical Committee – Fuzzy Systems (IEEE Computational Intelligence Society), chair of the Task Force 14 in Technical Committee – Emergent Technologies (IEEE CIS), member in Technical Committee – Soft Computing (IEEE SMCS). Dr. Balas was past Vice-president (responsible with Awards) of IFSA - International Fuzzy Systems Association Council (2013-2015), is a Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), - A Multidisciplinary Academic Body, India and recipient of the "Tudor Tanasescu" Prize from the Romanian Academy for contributions in the field of soft computing methods (2019).
Kamila Zarychta-Romanowska is a lawyer with a degree in International, EU, and Comparative Law from Strasburg, France, and an LLM from the Faculty of Law, Wroclaw, Poland. She holds a PhD from the same university, where she focused on EU Criminal law, migration, border criminology and policing, human smuggling and trafficking, transnational organised crime, and EU humanitarian and security law. She is a former Senior Legal and Political Advisor with the European Parliament (LIBE, REGI, CRIM, SEDE, TERR,DROI); a recognised arbitrator and mediator for WIPO ADR as well as in Arbitration Court in Poland; an internationally renowned criminologist and expert/consultant on i.a.: Gender Matters/Global Security Strategies, WMD, and Emerging Security and Defence Technologies (NATO-MARSEC COE), Maritime Security, Gender/SDG Awareness (Polish Naval Academy, Kuwait and Qatar Coast Guard), EU Commission, and Polish Border Guard Agency CoE; visiting Fellow in Border Guard College in Koszalin, an international consultant on intelligence, counterintelligence, and cyber intelligence; and a Tech Legal Expert Member of Quantum Standards Group, EITCI, Brussels. She is a member of the Center of Study and Education for Security, University of Wroclaw, and a recognised author and international expert on European border intelligence, migration, EU criminal and police law, security and defence, digital intelligence, and digital/cyber criminology. She is passionate about WPS, the EU, and Global innovation at the ITC for disaster risk reduction, human security, and intelligence.
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