DLRG – Mastering Tensorflow – 2
TrAC DLRG Mini-course on Mastering Tensorflow (class 2/3) In this mini-course, we will cover programming for deep learning and accelerated computing using Tensorflow. This is a series of 3 lectures […]
12 events found.
TrAC Seminar Series – Dr. Yue Yu
Title: Nonlocal Operator Learning is All You Need Abstract During the last 20 years there has been a lot of progress in applying neural networks (NNs) to many machine learning tasks. However, their employment in scientific machine learning with the purpose of learning complex responses of physical systems from experimental measurements has been explored much […]
ADLRG – Generative AI (vision) – 1
TrAC ADLRG Mini-course on Generative AI (class 1/4) In this mini-course, we will cover concepts in Generative AI such as Diffusion, etc.
DLRG – Mastering Tensorflow – 3
TrAC DLRG Mini-course on Mastering Tensorflow (class 3/3) In this mini-course, we will cover programming for deep learning and accelerated computing using Tensorflow. This is a series of 3 lectures […]
TrAC Seminar Series – Sayan Mitra
Title: Data-driven Verification for Safe Autonomy: Reachability, Entropy, and Perception Contracts Abstract Todays verification technologies for autonomous and cyber-physical systems require detailed models which is one of the barriers that […]
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 […]
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.
TrAC Student Journal Club – Dhruv Gamdha
Title: ∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization Link to the paper: https://light.princeton.edu/publication/delta_prox/
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 […]