ADLRG – Generative AI (vision) – 2

TrAC ADLRG Mini-course on Generative AI (class 2/4) In this mini-course, we will cover concepts in Generative AI such as Diffusion, etc.

DLRG – MLOps – 1

TrAC DLRG Mini-course on MLOps (class 1/3) In this mini-course, we will cover DevOps and best practices for training, monitoring, and deploying deep learning models.

Inaugural TrAC Day

Welcome to TrAC Day! Hosted by The Translational AI Center When: Wednesday, April 3rdTime: 3:00 p.m.Where: Student Innovation Center, Iowa State University About TrAC Day The Translational AI Center is thrilled to announce our inaugural TrAC Day, a pioneering event that celebrates the intersection of artificial intelligence, research, and industry collaboration. What to Expect Join […]

ADLRG – Generative AI (vision) – 3

TrAC ADLRG Mini-course on Generative AI (class 3/4) In this mini-course, we will cover concepts in Generative AI such as Diffusion, etc.

DLRG – MLOps – 2

TrAC DLRG Mini-course on MLOps (class 2/3) In this mini-course, we will cover DevOps and best practices for training, monitoring, and deploying deep learning models.

TrAC Seminar Series – George Biros

Title: A Graph Neural Network Surrogate for Epitaxial Crystal Growth Abstract Predicting grain (crystal)  formation and growth during alloy solidification is of great importance in additive manufacturing (AM) as it one of the key factors in determining the final microstructure and the mechanical properties of the printed part. Numerical simulations of grain formation involve moving […]

ADLRG – Generative AI (vision) – 4

TrAC ADLRG Mini-course on Generative AI (class 4/4) In this mini-course, we will cover concepts in Generative AI such as Diffusion, etc.

DLRG – MLOps – 3

TrAC DLRG Mini-course on MLOps (class 3/3) In this mini-course, we will cover DevOps and best practices for training, monitoring, and deploying deep learning models.

Federated Learning – 1

TrAC ADLRG Mini-course on Federated Learning (class 1/3) In this mini-course, we will cover concepts in Federated Learning.