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 […]
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 […]
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 PyTorch codes to gain confidence in debugging codes. The course is packed with plenty of hands-on activities, homework, and instructor consulting to make learning PyTorch […]
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 RL, including an overview of the basic concepts of RL, value-based methods, policy-based methods, and actor-critic algorithms. You will also learn how to leverage these […]
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 Polymeric materials are key enablers in aerospace, mechanical, civil, and environmental engineering, such as reverse osmosis membranes for water treatment and desalination, coatings for building […]
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 to know about interpretability, including an overview of basic concepts of interpretability, interpretable models, model-agnostic methods, and example-based explanations. You will also learn how to […]
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 will also learn about leveraging data parallelism and model parallelism workflows for your AI models on HPC infrastructures. In this course, you will engage in […]
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 assistant using data from 5,172 customer support agents. Access to AI assistance increases worker productivity, as measured by issues resolved per hour, by 15\% on […]
Detail Date: March 25, 2025 Time: 1:00 PM - 2:00 PM CT Location: 2055 Hoover Hall, Iowa State University (Zoom link is also provided for the audience external to ISU) Title: From LLMs to LRMs: The Jagged Quest to Tease Planning and Reasoning from Humanity’s Digital Footprints Abstract Large Language Models, auto-regressively trained on the […]
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 […]
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 […]
Detail Date: April 1, 2025 Time: 1:00 PM - 2:00 PM CT Location: 2004 Black Engineering or https://iastate.zoom.us/j/92613276601?pwd=FOstCb1ZxfzUlSbCtn0B8TN9ahvJFl.1 Title: Towards Human-centered and Trust-aware Autonomous Systems Abstract Over the past decade, autonomous systems have transformed how people work and live. Yet, despite their growing market penetration, user acceptance and effective interaction remain challenging. Trust is a […]
