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 Advanced AI Course on Self-Supervised Learning

Course Overview Self-Supervised Learning (SSL) is transforming the way we use machine learning by leveraging unlabeled data to create powerful models. This course offers a foundational understanding of SSL principles, […]

$500

TrAC Foundational AI Course on Generative Models

Course Description Elevate your machine learning skills with our comprehensive course, “Generative Models”. This course covers everything you need to know about generative models, from the basics of discriminative vs. generative […]

$500

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 Predictive Modeling Abstract Predictive modeling and simulation play a critical role in understanding, predicting, and controlling complex physical processes across numerous engineering disciplines. Traditional numerical […]

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 […]

TrAC Seminar Series – Ornik Melkior

Detail Date: December 4, 2024 Time: 11:00 am - 12:00 pm CST Location: 2019 Morrill Hall or https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09 Title: Autonomy at the Edge of Capabilities: Uncertain Environments, Limited Resources, Sparse […]