DLRG – Fundamentals of Deep Learning – 3

TrAC DLRG Mini-course on Fundamentals of Deep Learning (class 3/3) In this mini-course, we will cover basic fundamental concepts of deep learning. This is a series of 3 lectures spread […]

TrAC Seminar Series – Carrie Alexander

Title: The “Fatal Flaw” in AI Policy & Governance, and a Simple Yet Strategic Framework that May Help Abstract Much of policy and governance for AI can be divided into […]

DLRG – Mastering PyTorch – 1

TrAC DLRG Mini-course on Mastering PyTorch (class 1/3) In this mini-course, we will cover programming for deep learning and accelerated computing using PyTorch. This is a series of 3 lectures […]

Student Journal Club – Samundra Karki

Title Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field Location: 2004 Black Engineering or https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09

DLRG – Mastering PyTorch – 2

TrAC DLRG Mini-course on Mastering PyTorch (class 2/3) 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 – Dylan Shah

Title: A Surface-based Approach to Soft Robotics Abstract Typical robots are designed to achieve a single function in a controlled environment and lack the ability to generalize to new tasks. […]

ADLRG – Graph Neural Networks – 1

TrAC ADLRG Mini-course on Graph Neural Networks (class 1/4) In this mini-course, we will cover concepts in Graph Neural Networks.