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.
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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 spread over 3 weeks.
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 keep them from being widely used. In this talk, I will first present the basic idea of data-driven reachability analysis for systems with both black and white-box […]
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.
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 […]
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.
TrAC Student Journal Club – Mozhgan Hadadi
Title: Hyperspectral Neural Radiance Fields