Artificial Intelligence (AI) is an interdisciplinary area of study that connects computer science, neuroscience, engineering, mathematics, physics, philosophy, psychology, and other fields, with broad aims that include: investigating the underpinnings of human intelligence and cognition; simulating human intelligence in computers and other machines; engineering software and/or hardware systems that can "learn" from their experiences in the world around them; and building systems that can perform as well as or even better than humans on a variety of tasks. While the field of AI has been around for decades, the products of AI have recently generated both a lot of excitement and a lot of concern. This lecture will present an overview of some of the key concepts and elements associated with recent developments in AI, as well as some of the connections between AI applications and the machine learning and deep learning techniques that are used to implement those applications. Level: Introductory. Prerequisites: None. Time: Wednesday, March 5, 2025, 9am-10am ET, with 30 mins optional discussion time immediately afterward.