Slide 1: The Future of Artificial Intelligence. Slide 2: What is Artificial Intelligence?. Slide 3: A Brief History of AI. Slide 4: Key AI Paradigms. Slide 5: Why Now? Drivers of AI Acceleration. Slide 6: AI Today: Ubiquitous Applications. Slide 7: Machine Learning in Action. Slide 8: Natural Language Processing (NLP). Slide 9: Computer Vision. Slide 10: Robotics & Automation. Slide 11: Generative AI. Slide 12: AI in Healthcare. Slide 13: AI in Finance. Slide 14: AI in Education. Slide 15: AI in Manufacturing. Slide 16: The Next Frontier: Emerging AI Trends. Slide 17: Explainable AI (XAI). Slide 18: Ethical AI. Slide 19: Reinforcement Learning (RL). Slide 20: Edge AI. Slide 21: Quantum AI. Slide 22: AI-Powered Drug Discovery. Slide 23: Personalized AI Assistants. Slide 24: AI for Climate Change. Slide 25: Neuro-Symbolic AI. Slide 26: Transforming Industries. Slide 27: Future of Work: Automation & New Roles. Slide 28: Economic Implications. Slide 29: Ethical Dilemmas. Slide 30: Bias and Fairness. Slide 31: AI Safety & Alignment. Slide 32: Regulatory Landscape. Slide 33: Global Competition: The AI Race. Slide 34: Security Risks. Slide 35: Human-AI Collaboration. Slide 36: The Vision: A Synergistic Future. Slide 37: Preparing for the AI Era. Slide 38: Key Takeaways. Slide 39: Q&A / Discussion. Slide 40: Thank You