Join our dynamic MLOps course and discover how machine learning has been transformed from a research tool into a key component of modern applications used by millions. In this hands-on course, you’ll master essential topics like MLflow, Data Pipelines, RestAPI development, and containerization. Our expert instructors will guide you through every step, ensuring you gain […]
Detail Date: September 18, 2024 Time: 11:00 AM - 12:00 PM CST Location: https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09 Title: Deep learning enabled computer vision metrology: from strain estimation to form measurement Abstract The embryo of Industry 4.0 has been transforming manufacturing into an autonomous, adaptive, and responsive paradigm while setting a higher standard for efficiency, accuracy, and reliability. These […]
Join our cutting-edge End-to-End Computer Vision course and unlock the power of visual data in today’s digital world. In this comprehensive and hands-on course, you’ll dive deep into the complete lifecycle of computer vision applications. From data collection and annotation to model training, deployment, and performance monitoring, our expert instructors will guide you through every […]
In this course, "Graph Neural Network", we will learn about graph neural network models, a branch for machine learning and AI. We will cover everything from the overview of graph machine learning, basic graph neural networks and advanced graph neural networks with different mechanisms. We will also cover how to leverage these models to address […]
Detail Date: October 9, 2024 Time: 11:00 am - 12:00 pm CST Location: 2004 Black Engineering or https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09 Title: Understanding Reaction Mechanisms of Ammonia Synthesis through the Combination of Deep Reinforcement Learning and Density Functional Theory Abstract The Haber–Bosch (HB) process is the foundation of industrial ammonia (NH₃) production, essential for manufacturing nitrate-based fertilizers and […]
Detail Date: October 17, 2024 Time: 12:00 PM - 1:00 PM CST Location: Microsoft Teams Meeting Title: Contrastive Localized Language-Image Pre-Training
Detail Date: October 23, 2024 Time: 11:00 am - 12:00 pm CST Location: https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09 Title: Economic Designs of Large Language Models Abstract Large Language Models (LLMs) are transforming many of aspects of the technology world and, importantly, also their commercial applications. Unlike standard machine learning technology development, enabling the use of LLMs in the e-commerce […]
Course Overview Self-Supervised Learning (SSL) is transforming the way we use machine learning by leveraging unlabeled data to create powerful models. This course offers a foundational understanding of SSL principles, algorithms, and applications, helping students develop the skills necessary to apply SSL techniques in real-world scenarios. Course Topics • Introduction to Self-Supervised Learning and its […]
Course Description Elevate your machine learning skills with our comprehensive course, “Generative Models”. This course covers everything you need to know about generative models, from the basics of discriminative vs. generative models to advanced techniques like variational autoencoders, generative adversarial networks, and diffusion models. Engage in hands-on activities, solve real-world problems in image and time-series generation, […]
Detail Date: November 6, 2024 Time: 11:00 AM - 12:00 PM CST Location: 2019 Morrill Hall or https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09 Title: Deep Learning Meets Numerical PDEs: A Neural Differentiable Physics Approach for Predictive Modeling Abstract Predictive modeling and simulation play a critical role in understanding, predicting, and controlling complex physical processes across numerous engineering disciplines. Traditional numerical […]
Detail Date: December 4, 2024 Time: 11:00 am - 12:00 pm CST Location: 2019 Morrill Hall or https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09 Title: Autonomy at the Edge of Capabilities: Uncertain Environments, Limited Resources, Sparse Data Abstract Fast, successful, and efficient planning is a core challenge of high-level autonomy in complex environments. The obstacles are seemingly insurmountable. Individual agents often […]
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 cell dynamics Abstract Inverse Reinforcement Learning (IRL) is a compelling technique for revealing the rationale underlying the behavior of autonomous agents. IRL seeks to estimate […]
