TrAC Seminar Series – Krishna Garikipati

Detail Date: December 11, 2024 Time: 11:00 AM - 12:00 PM CST Location: 2019 Morrill Hall or https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09 Title: Fokker-Planck-Inverse Reinforcement Learning: A physics-constrained approach to Markov Decision Process models of […]

TrAC Seminar Series – Ashis Banerjee

Detail Date: January 28, 2025 Time: 1:00 - 2:00 PM CST Location: https://iastate.zoom.us/j/92613276601?pwd=FOstCb1ZxfzUlSbCtn0B8TN9ahvJFl.1 Title: A Foray into Topological Learning from an Engineering Perspective Abstract Topological learning (TL), referring to a […]

Mastering PyTorch

Master PyTorch, an open-source deep learning framework for AI. This course covers everything from the Tensors computations, custom architectures, and advanced functions in PyTorch. It also covers how to debug […]

Deep Reinforcement Learning

In this course, “Reinforcement Learning”, you will learn about various reinforcement learning (RL) algorithms, a branch of machine learning and AI. This course covers everything you need to know about […]

TrAC Seminar Series – Ying Li

Detail Date: February 25, 2025 Time: 1:00 PM - 2:00 PM CT Location: https://iastate.zoom.us/j/92613276601?pwd=FOstCb1ZxfzUlSbCtn0B8TN9ahvJFl.1 Title: Machine Learning-accelerated Molecular Design of Innovative Polymers: Shifting from Thomas Edison to Iron Man Abstract […]

Interpretability in AI

In this course, “Interpretability in AI”, you will learn about various interpretable and explainable machine learning algorithms, a branch of machine learning and AI. This course covers everything you need […]

Parallelism in Deep Learning

In this course, “Parallelism in Deep Learning,” you will learn about the need for parallelism in deep learning and how to use different methods of parallelism in deep learning. You […]

TrAC Seminar Series – Lindsey Raymond

Detail Date: March 4, 2025 Time: 1:00 PM - 2:00 PM CT Location: https://iastate.zoom.us/j/92613276601?pwd=FOstCb1ZxfzUlSbCtn0B8TN9ahvJFl.1 Title: Generative AI at Work Abstract We study the staggered introduction of a generative AI-based conversational […]

End-to-End Natural Language Processing

In this course, “End-to-End Natural Language Processing”, you will learn about text data and how to process textual data using state-of-the-art AI tools. This course covers everything you need to […]

3D Vision – NeRFs and INRs

In this course, “3D Vision – NeRFs and INRs”, you will learn about the basics of 3D Vision and how to use state-of-the-art 3D vision algorithms such as Neural Radiance […]