Artificial Intelligence
Springer International Publishing (Verlag)
978-3-031-91083-8 (ISBN)
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Artificial Intelligence: Transcending Traditional Paradigms is a significant new introductory text for undergraduate and graduate course use. It introduces students and professionals to the state-of-the-art development of Artificial Intelligence techniques to develop smart real-world solutions. As an active researcher, the author presents the material authoritatively and with insights that reflect a modern, firsthand understanding of the field.
Artificial intelligence is a science still in its infancy, and that makes it special. It s not like more established fields, and the author has tried in writing this textbook to honour this characteristic and the ways it makes AI unique.
Rajendra Akerkar is a professor and coordinator of Big Data and Emerging Technologies research at Western Norway Research Institute. His research focuses on developing and applying artificial intelligence techniques to address real-world challenges in emergency management, cybersecurity, and transport and mobility. With over 30 years of academic experience across universities in Asia, Europe, and North America; Rajendra has co-authored more than 150 publications in prestigious international conferences and journals, as well as books and monographs on big data computing, AI, and knowledge-based systems.
Part 1: Foundations of artificial intelligence.- The genesis of artificial intelligence: Origins and evaluation.- The dawn of AI: Early innovations and discoveries.- Part 2: The learning revolution: Data-driven intelligence.- Soft computing paradigms: Bridging precision and flexibility.- Machine learning: Building intelligence from patterns.- Deep learning: The fabric of representation.- Reinforcement learning: Shaping behaviour through rewards.- Part 3: AI Odyssey: Exploring language and intelligent agents.- Journey through language: Models and prompt engineering.- Autonomous decision maker: AI agents.- Part 4: Expanding the frontiers of AI.- The best of both Worlds: Neuro-symbolic AI.- Mimicking the mind: Evolution of cognitive AI.- Robots with a sense of self: Exploring embodied intelligence.- Part 5: Building advanced and responsible AI.- Blueprint for intelligence: Building robust AI systems.- Never stop learning: The principles of continual learning.- Opening the black box: The role of explainability in AI.- Part 6: Conclusion and future outlook.- Epilogue: AI at the threshold.
| Erscheinungsdatum | 29.11.2025 |
|---|---|
| Zusatzinfo | XXIV, 568 p. 52 illus., 24 illus. in color. With online files/update. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Betriebssysteme / Server |
| Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Artificial Intelligence • autonomous ai • Embodied AI • generative AI • Intelligent Systems • responsible AI |
| ISBN-10 | 3-031-91083-4 / 3031910834 |
| ISBN-13 | 978-3-031-91083-8 / 9783031910838 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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