DLRG – Mastering PyTorch – 3

TrAC DLRG Mini-course on Mastering PyTorch (class 3/3) In this mini-course, we will cover programming for deep learning and accelerated computing using PyTorch. This is a series of 3 lectures […]

TrAC Seminar Series – Michael Risbeck

Title: Data-driven Optimization of HVAC Systems to Balance Airborne Infection Risk and Energy Use Abstract During the COVID-19 global pandemic, significant attention was paid to how the operation of building […]

ADLRG – Graph Neural Networks – 2

TrAC ADLRG Mini-course on Graph Neural Networks (class 2/4) In this mini-course, we will cover concepts in Graph Neural Networks.

Student Journal Club – Joshua Waite – Multi-Camera Tracking

Title: Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignment Link: Enhancing Multi-Camera People Tracking With Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignment (thecvf.com)

AI-Ag TrAC-a-thon – Spring 2024

.stk-nq2yw08 .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-nq2yw08 .stk-block-heading__text{font-size:48px !important}}AI-Ag TrAC-a-thon 2024 is our very first Translational-AI hackathon .stk-f6ojwdb .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 […]

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.