Artificial Intelligence for Global Counter-Terrorism, Gebunden
Artificial Intelligence for Global Counter-Terrorism
- Utilizing Deep Learning and Innovative Strategies
- Publisher:
- Christian Kaunert, Bhupinder Singh, Rhishikesh Dave, Sally Lukose, Anjali Raghav
- Publisher:
- Springer, 10/2025
- Binding:
- Gebunden
- Language:
- Englisch
- ISBN-13:
- 9783031992346
- Item number:
- 12544041
- Volume:
- 244 Pages
- Weight:
- 533 g
- Format:
- 241 x 160 mm
- Thickness:
- 19 mm
- Release date:
- 25.10.2025
- Series:
- Contributions to Security and Defence Studies
- Note
-
Caution: Product is not in German language
Blurb
The emergence of global terrorism has led to new, innovative artificial intelligence (AI) and deep learning techniques for effective counterterrorism. This book explores the transformative role of AI and deep learning in combating global terrorism, providing a comprehensive analysis of how these technologies can safeguard nations and societies. It presents strategies for utilizing AI and deep learning in intelligence gathering, predictive analysis, surveillance, and threat detection.
The book examines the use of machine learning algorithms to analyze vast amounts of data, identifying patterns and trends to anticipate potential terrorist activities. It highlights how AI-powered systems enhance counterterrorism operations, real-time responses, and decision-making processes. Offering technical insights and practical applications, this book will appeal to students, researchers, and scholars of security studies, international relations, law, and political science, as well as to policymakers, and security professionals interested in a forward-thinking approach to combating terrorism in an interconnected world.
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