TrAC Student Journal Club – Timilehin Ayanlade
Title: Unified Training of Universal Time Series Forecasting Transformers
TrAC Seminar Series – Seyed Vahid Mirnezami
Title: Transforming AI Practices: From Data Generation to Automated MLOps Abstract Agility enables swift adaptation to changing market needs and new technologies. Moreover, mature AI utilization necessitates a strategic shift, […]
ADLRG – Federated Learning – 2
TrAC ADLRG Mini-course on Federated Learning (class 2/3) In this mini-course, we will cover concepts in Federated Learning.
TrAC Seminar Series – Jinlong Wu
Title: Operator learning for data-driven closure models of complex dynamical systems Abstract Closure models are widely used in simulating complex multiscale dynamical systems such as turbulence and Earth’s climate, for […]
ADLRG – Federated Learning – 3
TrAC ADLRG Mini-course on Federated Learning (class 3/3) In this mini-course, we will cover concepts in Federated Learning.
Deep Dive into AI
Welcome to the TrAC Bootcamp on "Deep Dive into AI" Get ready for a hands-on, four-day journey into the world of Artificial Intelligence at our upcoming TrAC Bootcamp. Whether you're a student, professional, or just curious about AI, this bootcamp is designed to give you a comprehensive introduction to the field. Dates: June 4-7, 2024Time: […]
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 […]
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 […]
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 lifecycle of computer vision applications. From data collection and annotation to model training, deployment, and performance monitoring, our expert instructors will guide you through every […]
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 machine learning, basic graph neural networks and advanced graph neural networks with different mechanisms. We will also cover how to leverage these models to address […]