TrAC Advanced AI Course on Scientific Machine Learning

Course Description Dive into the theory, implementation, and limitations of Scientific Machine Learning (SciML) models. In this course, you will engage in hands-on and practical activities under the expert guidance of our experienced instructors. Learning SciML will be enjoyable and rewarding as you engage in real-world applications, such as solving partial differential equations using physics-informed […]

$500

TrAC Foundational AI Course on MLOps

Join our dynamic MLOps course and discover how machine learning has been transformed from a research tool into a key component of modern applications used by millions. In this hands-on course, you’ll master essential topics like MLflow, Data Pipelines, RestAPI development, and containerization. Our expert instructors will guide you through every step, ensuring you gain […]

$500

TrAC Seminar Series – Ping Guo

Detail Date: September 18, 2024 Time: 11:00 AM - 12:00 PM CST Location: https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09 Title: Deep learning enabled computer vision metrology: from strain estimation to form measurement Abstract The embryo of Industry 4.0 has been transforming manufacturing into an autonomous, adaptive, and responsive paradigm while setting a higher standard for efficiency, accuracy, and reliability. These […]

TrAC Foundational AI Course on End-to-End Computer Vision

Join our cutting-edge End-to-End Computer Vision course and unlock the power of visual data in today’s digital world. In this comprehensive and hands-on course, you’ll dive deep into the complete […]

$500

TrAC Advanced AI course on Graph Neural Networks

In this course, "Graph Neural Network", we will learn about graph neural network models, a branch for machine learning and AI. We will cover everything from the overview of graph […]

$500

TrAC Seminar Series – Qi An

Detail Date: October 9, 2024 Time: 11:00 am - 12:00 pm CST Location: 2004 Black Engineering or https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09 Title: Understanding Reaction Mechanisms of Ammonia Synthesis through the Combination of Deep Reinforcement Learning and Density Functional Theory Abstract The Haber–Bosch (HB) process is the foundation of industrial ammonia (NH₃) production, essential for manufacturing nitrate-based fertilizers and […]

TrAC Seminar Series – Haifeng Xu

Detail Date: October 23, 2024 Time: 11:00 am - 12:00 pm CST Location: https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09 Title: Economic Designs of Large Language Models Abstract Large Language Models (LLMs) are transforming many of aspects of the technology world and, importantly, also their commercial applications. Unlike standard machine learning technology development, enabling the use of LLMs in the e-commerce […]

TrAC Seminar Series – Jian-Xun Wang

Detail Date: November 6, 2024 Time: 11:00 AM - 12:00 PM CST Location: 2019 Morrill Hall or https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09 Title: Deep Learning Meets Numerical PDEs: A Neural Differentiable Physics Approach for […]

TrAC Seminar Series – Ashis Banerjee

Detail Date: November 20, 2024 Time: 11:00 AM - 12:00 PM Location: https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09 Title: A Foray into Topological Learning from an Engineering Perspective Abstract Topological learning (TL), referring to a […]