AI-Ag TrAC-a-thon – Spring 2024

.stk-77da019 .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-77da019 .stk-block-heading__text{font-size:48px !important}}AI-Ag TrAC-a-thon 2024 is our very first Translational-AI hackathon .stk-6e41c47 .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 […]

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.

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.