TrAC Student Journal Club – Nastaran Saadati – Model Merging
Title: Merging Multi-Task Models via Weight-Ensembling Mixture of Experts
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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)
Campus AI Tie-In – Powered by FAST-TrAC + Coltie
Register here: https://forms.gle/UZguwpraVBpxww5N9
AI-Ag TrAC-a-thon – Spring 2024
.stk-2h3q1wo .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-2h3q1wo .stk-block-heading__text{font-size:48px !important}}AI-Ag TrAC-a-thon 2024 is our very first Translational-AI hackathon .stk-1ye9xrr .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-muasmgw{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 2206The 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 […]