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AI-Ag TrAC-a-thon – Spring 2024

.stk-fdxva96 .stk-block-heading__text{font-size:48px !important;font-weight:700 !important;text-transform:uppercase !important;font-family:"Poppins",Sans-serif !important}@media screen and (max-width:1023px){.stk-fdxva96 .stk-block-heading__text{font-size:48px !important}}AI-Ag TrAC-a-thon 2024 is our very first Translational-AI hackathon .stk-y9n8wn4 .stk-block-heading__text{font-weight:700 !important;text-transform:uppercase !important;font-family:"Poppins",Sans-serif !important}About TrAC's Hackathon with a theme of Smart Digital Agriculture .stk-jre8vqf{margin-bottom:30px !important}Who can participate? Students: Graduate and undergraduate students with science and engineering skills and agricultural interests or experience are encouraged to […]

DLRG – Mastering Tensorflow – 1

TrAC DLRG Mini-course on Mastering Tensorflow (class 1/3) 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.

ADLRG – Graph Neural Networks – 3

TrAC ADLRG Mini-course on Graph Neural Networks (class 3/4) In this mini-course, we will cover concepts in Graph Neural Networks.

TrAC and the Richard and Carol Pletcher Seminar Series – Lucy Zhang

SICTR 2206

The Richard and Carol Pletcher Seminar Series and TrAC host Lucy Zhang Title: Non-intrusive Coupling Strategies for Multiphysics Simulations Abstract In this talk, I will discuss computational strategies for multiphysics systems. Multiphysics involve multiple physical behaviors to be coupled for inter-related responses. To obtain stable, effective, and accurate coupled numerical solutions is not trivial. Traditional […]

ADLRG – Graph Neural Networks – 4

TrAC ADLRG Mini-course on Graph Neural Networks (class 4/4) In this mini-course, we will cover concepts in Graph Neural Networks.

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 spread over 3 weeks.

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 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 […]