Speaker: Casey Hampson, Physics major at Kennesaw State University
Title: “Machine Learning in Minecraft”
Abstract: Machine learning, in recent years, has become widely accessible for the general population, such as ChatGPT or DALL-E, the text-to-image model. The inherently adaptive nature of machine learning allows it to be used for a variety of purposes, like self-driving cars or even particle physics, making it an extremely useful tool in many applications. In this presentation, I break down some the complexity of machine learning and describe the fundamentals behind basic neural networks, which are the backbone of nearly every type of machine learning model. I will then describe the bulk of my summer research, where I applied some of these concepts to the videogame Minecraft and trained a model to detect different types of trees. This talk will use some concepts from multivariable calculus and linear algebra, but it will not be expected nor required in order to gain understanding of the topic.

The Department of Mathematics Math Talks Seminar Series is open to all KSU faculty, students, and invited visitors to present any math or math-related topic. Seminars typically require little or no advanced mathematical knowledge and are open to anyone. This talk will take place in a hybrid format – in-person in D-249 or virtually.