Ongoing

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 […]

Inaugural Distinguished TrAC Lecture – Subbarao Kambhampati

2055 Hoover Hall 528 BISSELL RD, Ames

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 […]