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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. It is an essential guide for understanding the profound impact of AI on our world today and its potential to shape our future.
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- Größe: 22.73MB
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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. It is an essential guide for understanding the profound impact of AI on our world today and its potential to shape our future.
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Produktdetails
- Produktdetails
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 362
- Erscheinungstermin: 17. Juni 2025
- Englisch
- ISBN-13: 9788770046220
- Artikelnr.: 74147548
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 362
- Erscheinungstermin: 17. Juni 2025
- Englisch
- ISBN-13: 9788770046220
- Artikelnr.: 74147548
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
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.
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?
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?
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?
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?