Detail Date: April 22, 2025 Time: 1:00 PM - 2:00 PM CT Location: https://iastate.zoom.us/j/92613276601?pwd=FOstCb1ZxfzUlSbCtn0B8TN9ahvJFl.1 Title: Computational analysis of multimodal brain and physiological dynamics Abstract Advances in neuroimaging and machine learning […]
Literacy in Emerging AI Techniques Date: April 25th, 2025Time: 9:00 AM - 5:00 PMLocation: Room 134 (AI Playground), Parks LibraryRegistration: Register Here About the Tutorial The "Literacy in Emerging AI […]
Detail Date: April 29, 2025 Time: 1:00 - 2:00 PM CST Location: Black 2004 or https://iastate.zoom.us/j/92613276601?pwd=FOstCb1ZxfzUlSbCtn0B8TN9ahvJFl.1 Title: From neurological disorders to additive manufacturing: integrating isogeometric analysis with deep learning and […]
This interactive event is designed for experienced professionals who want to apply AI in more advanced and practical ways. Whether you're looking to develop AI-driven tools, automate workflows, or explore […]
Welcome to the TrAC Bootcamp on "Deep Dive into AI" Get ready for a hands-on, four-day journey into the world of Artificial Intelligence at our upcoming TrAC Bootcamp. Whether you're […]
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 […]
Graph Neural Networks Elevate your machine learning skills with our comprehensive course, “Graph Neural Networks”. This course covers everything you need to know about graph neural network models, including the […]
Detail Date: September 2, 2025 Time: 1:00 - 2:00 PM CT Location: https://iastate.zoom.us/j/99289273148?pwd=XjAQaloJufOfkbYMb48Clci2NWWNR2.1&from=addon Title: Predicting the long-term behavior of chaotic dynamical systems with scientific machine learning Abstract Most machine learning […]
Detail Date: September 9, 2025 Time: 1:00 - 2:00 PM CT Location: Black Engineering 2004 or https://iastate.zoom.us/j/99289273148?pwd=XjAQaloJufOfkbYMb48Clci2NWWNR2.1&from=addon Title: Digital Twins For Stroke and Cerebrovascular Accidents: Challenges And Opportunities Abstract: Stroke […]
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Course Description This course covers everything you need to know about physics-informed neural networks (PINNs) and state-of-the-art neural operators. Learn the theory, implementation, and limitations of scientific machine learning models […]
Course Description Elevate your machine learning skills with our comprehensive course, "End-to-End Natural Language Processing". This course covers everything you need to know about text data processing using state-of-the-art AI […]
