River Publishers Computing and Information Science and Technology

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?