Artificial Intelligence in Action
Real-World Applications and Innovations
1st Edition
Published on 17. June 2025
362 pages
978-1-040-39596-7 (ISBN)
Description
This comprehensive book dives deep into the current landscape of AI, exploring its fundamental principles, development challenges, potential risks, and the cutting-edge breakthroughs that are propelling it forward. Artificial intelligence (AI) is rapidly transforming industries and societies worldwide through groundbreaking innovations and real-world applications. Starting with the core concepts, the book examines the various types of AI systems, generative AI models, and the complexities of machine learning. It delves into the programming languages driving AI development, data pipelines, model creation and deployment processes, while shedding light on issues like AI hallucinations and the intricate path of machine unlearning.
The book then showcases the remarkable real-world applications of AI across diverse domains. From preventing job displacement and promoting environmental sustainability, to enhancing disaster response, drone technology, and even nuclear energy innovation, it highlights how AI is tackling complex challenges and driving positive change.
The book also explores the double-edged nature of AI, recognizing its tremendous potential while cautioning about the risks of misuse, unintended consequences, and the urgent need for responsible development practices. It examines the intersection of AI and fields like operating system design, warfare, and semiconductor technology, underscoring the wide-ranging implications of this transformative force.
As the quest for artificial general intelligence (AGI) and superintelligent AI systems intensifies, the book delves into cutting-edge research, emerging trends, and the pursuit of multimodal, explainable, and causally aware AI systems. It explores the symbiotic relationship between AI and human creativity, the rise of user-friendly "casual AI," and the potential of AI to tackle open-ended tasks.
This is an essential guide for understanding the profound impact of AI on our world today and its potential to shape our future. From the frontiers of innovation to the challenges of responsible development, this book offers a comprehensive and insightful exploration of the remarkable real-world applications and innovations driving the AI revolution.
The book then showcases the remarkable real-world applications of AI across diverse domains. From preventing job displacement and promoting environmental sustainability, to enhancing disaster response, drone technology, and even nuclear energy innovation, it highlights how AI is tackling complex challenges and driving positive change.
The book also explores the double-edged nature of AI, recognizing its tremendous potential while cautioning about the risks of misuse, unintended consequences, and the urgent need for responsible development practices. It examines the intersection of AI and fields like operating system design, warfare, and semiconductor technology, underscoring the wide-ranging implications of this transformative force.
As the quest for artificial general intelligence (AGI) and superintelligent AI systems intensifies, the book delves into cutting-edge research, emerging trends, and the pursuit of multimodal, explainable, and causally aware AI systems. It explores the symbiotic relationship between AI and human creativity, the rise of user-friendly "casual AI," and the potential of AI to tackle open-ended tasks.
This is an essential guide for understanding the profound impact of AI on our world today and its potential to shape our future. From the frontiers of innovation to the challenges of responsible development, this book offers a comprehensive and insightful exploration of the remarkable real-world applications and innovations driving the AI revolution.
More details
Series
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
Professional and scholarly
File size
49,39 MB
ISBN-13
978-1-040-39596-7 (9781040395967)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
06/2025
1st Edition
River Publishers
€176.80
Article not available for order
Person
Professor Ahmed Banafa is a globally renowned thought leader and authority in the fields of Internet of Things (IoT), blockchain, cybersecurity, and artificial intelligence (AI). With a distinguished career spanning research, operations, and management, Prof. Banafa has made significant contributions to advancing these transformative technologies. His expertise and visionary insights have garnered widespread recognition, including and LinkedIn named him the No. 1 tech voice to follow in 2018, a testament to his predictive insights and influential voice within the tech community. Prof. Banafa's research has been featured in esteemed publications such as Nature, Forbes, IEEE, and the MIT Technology Review, further solidifying his reputation as a leading expert in his field. His thought leadership has also been sought after by major media outlets, including ABC, CBS, NBC, Bloomberg, BBC, NPR, NHK, and FOX, where he has provided insightful commentary and analysis. Prof. Banafa is an accomplished author, known for his impactful and influential books. His critically acclaimed work, Secure and Smart Internet of Things (IoT) using Blockchain and Artificial Intelligence (AI), earned him the San Jose State University Author and Artist Award and recognition as one of the Best Technology Books of All Time and Best AI Models Books of All Time. His book on Blockchain Technology and Applications has also received widespread acclaim and has been integrated into the curricula of prestigious institutions such as Stanford University. Furthermore, Prof. Banafa has made significant contributions to the field of Quantum Computing through his third book, and his fourth book explains Transformative AI and its impact. Prof. Banafa's extensive educational background includes studies in Cybersecurity at Harvard University and Digital Transformation at the Massachusetts Institute of Technology (MIT). He holds a Master's Degree in Electrical Engineering and a PhD in Artificial Intelligence, further underscoring his expertise in these cutting-edge fields.
Content
Part 1: Fundamentals of AI 1. Generative AI and other types of AI 2. Challenges in Learning Generative AI 3. Exploring the Potential Downfalls of AI Technology 4. AI Hallucinations 5. AI and Machine Unlearning: Navigating the Forgotten Path 6. Programming Languages Used in AI Development 7. Unraveling the Challenges: Navigating the Barriers to Generative AI Success 8. Exploring the Challenges and Progress in AI Alignment 9. Creating AI Models: From Data to Deployment 10. Large Language Models as Data Compression Engines Part 2: AI Applications 11. Can We Stop Robots from Replacing Humans? 12. Green Artificial Intelligence 13. Artificial Intelligence and Natural Disasters 14. AI and Drones 15. Nuclear AI: Pioneering the Future of Nuclear Technology 16. Artificial Intelligence: A Double-Edged Sword for Environment and Climate Part 3: Challenges and Opportunities 17. How Can Countries Regulate AI? 18. The Pinnacle of Artificial Intelligence: Navigating the Technological Odyssey 19. What Would Happen If AI Took Over Humanity? 20. Who Will Really Benefit from AI? 21. The Significance of Establishing Regulatory Frameworks for Artificial Intelligence 22. The Intersection of Artificial Intelligence and Operating System Design 23. Emerging Trends in AI 24. The Future of AI: Unveiling the Next Frontier of Technological Advancement 25. The Two Sides of the Coin: Why Humans Should Both Embrace and Approach AI with Caution 26. Finding Your AI Ally: Choosing the Right AI for Your Business and Expanding Your Horizons with Powerful Tools 27. Dawn of the Machine: A Chronicle of the First Day Under Super AI 28. Exploring Standards for Responsible AI 29. The Power of Multimodal AI 30. A Deep Dive into Explainable AI 31. Artificial General Intelligence (AGI): The Quest for Human-Level Machine Minds 32. Super Artificial Intelligence (AI) 33. The Symbiotic Relationship Between AI and Semiconductors 34. AI and the Challenge of Causal Reasoning and Reasoning under Uncertainty 35. Pushing the Boundaries: AI for Creativity and Open-Ended Tasks 36. The Rise of Sovereign AI: A Technological Race with National Stakes 37. Collective AI: The Power of Collaboration in Artificial Intelligence 38. The Rise of the AI Whisperers: New Jobs in the Age of Generative AI 39. Bridging the Gap Between Symbolic and Subsymbolic AI 40. The Dark Side of AI: Risks, Challenges, and the Need for Responsible Development 41. Casual AI: The Rise of Accessible and User-Friendly Artificial Intelligence 42. Machines with Sight, Sound, Taste, Touch, and Speech 43. Objective-Driven AI: Optimizing for Specific Goals in a Complex World 44. AI Hype: The Challenges and Realities of Transformative Technology 45. The Controversial Convergence of AI and Warfare 46. The High Costs of Developing Advanced Artificial Intelligence 47. Artificial Intelligence Learns to Deceive Humans 48. Exploring the Realm of Perfect AI: Myth or Eventuality?
