Artificial Intelligence: Foundations and Machine Learning

This lecture introduces the foundations of artificial intelligence, covering administrative details, the AI revolution, the data revolution, and the machine learning revolution. It also discusses the course grading, requirements, and domains covered by machine learning. The lecture explores the history of AI, the difference between AI and machine learning, and examples of AI achieved with machine learning. It delves into the data revolution, breakthroughs in AI, and the importance of machine learning in leveraging big data. The lecture concludes with research examples, including text-to-image generation and data-driven optimization and control of vertical axis wind turbines.