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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 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 […]

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 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 […]

Inaugural Distinguished TrAC Lecture – Subbarao Kambhampati

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 […]

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 know about natural language processing and various tasks. You will also learn about leveraging large language models for NLP, how to perform Prompt Engineering and […]

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 Fields, Gaussian Splats, and Implicit Neural Representations. In this course, you will engage in hands-on activities, homework, and instructor consulting to make learning 3D Vision […]

TrAC Seminar Series – Jundi Liu

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 […]

TrAC Day 2025

TrAC Day 2025 .stk-9bb0f3e {margin-bottom:16px !important;}.stk-9bb0f3e .stk-block-heading__text{color:#7c2529 !important;}Organized by Translational AI Center at Iowa State University April 16, 2025 2:00 pm - 6:00 pm .stk-c25accc {margin-bottom:0px !important;}.stk-c25accc .stk-block-heading__text{color:#c8102e !important;}Join us on April 16th for TrAC Day 2025 - a dynamic event celebrating innovation, research, and collaboration! This exciting gathering will feature Flash Talks from leading experts and […]

TrAC/CS Seminar – Nitesh Goyal

Detail Date: April 18, 2025 Time: 11:00 AM - 12:00 PM CST Location: TBD Title: Impact of Data Annotator Identity on ML Model Outcomes: Unpacking Specialized Rater Pools Abstract Machine […]

TrAC Seminar Series – Catie Chang

Detail Date: April 22, 2025 Time: 1:00 PM - 2:00 PM CT Location: https://iastate.zoom.us/j/92613276601?pwd=FOstCb1ZxfzUlSbCtn0B8TN9ahvJFl.1 To be updated soon!