Overview The Texas Digital Twin Symposium brings together researchers, students, and industry partners from across Texas to advance the growing digital twin research ecosystem, with a strong focus on data science–enabled methods and real-world applications. The event is designed to spark new cross-disciplinary collaborations spanning engineering, statistics, computer science, and applied mathematics. Through technical sessions, […]
The Data Justice Lab is pleased to host AI Explorers: Understanding and Using AI Responsibly, a free interactive workshop designed for middle school students (ages 11–14) to build a foundational understanding of artificial intelligence and its responsible use. As AI technologies become increasingly integrated into everyday life, this session introduces students to how AI works, how […]
Dr. Wang is an Associate Professor at the Sibley School of Mechanical and Aerospace Engineering at Cornell University. Previously, he held the position of Robert W. Huether Collegiate Associate Professor in the Department of Aerospace and Mechanical Engineering at the University of Notre Dame. He received his Ph.D. in Aerospace Engineering from Virginia Tech in […]
Participants will learn how to identify latent themes in large text collections using unsupervised machine learning and how to interpret and validate these findings. It will be one hour of theory and explanation of the concepts, and the last hour will be hands-on practice in Python. Key topics include: Unsupervised learning, topic modeling concepts, Latent […]
