#FYI – TAMU Library Workshop “AI & the Literature Review”
AI has an exceptional range of uses in the research process including summarizing documents, finding similar papers, and identifying key points of a body of text. This workshop is for […]
AI has an exceptional range of uses in the research process including summarizing documents, finding similar papers, and identifying key points of a body of text. This workshop is for […]
Join us for weekly coffee chats to learn about the exciting intersection of Data Science, AI/ML, Digital Twina (DTs), and Large Language Moldes (LLMs) in Nuclear Engineering! This event is […]
We introduce DeepSets Operator Networks (DeepOSets), an efficient, non-autoregressive neural network architecture for in-context learning of permutation-invariant operators. DeepOSets combines the operator learning capabilities of Deep Operator Networks (DeepONets) with […]
Frederica Darema, PhD, is President and CEO of the InfoSymbiotic Systems Society. She has retired as a Senior Executive Service (SES) member and Director of the Air Force Office of […]
Date and Time: Feb 17–21, 2025, 6:30–8:30 pm each dayLocation: Workshop Details This free data science workshop aims to provide an introductory overview of data science topics, specifically designed for […]
Join us for a career talk with Dr. Ming-Ray Liao, Survey Statistician at the U.S. Census Bureau. Dr. Liao works on model-based poverty and health insurance estimates, conducts ML-based data […]
To use AI or to not use AI – that is the topic of this discussion-based workshop. AI is becoming increasingly hard to ignore and its use comes with many […]
George Biros is the W. A. “Tex” Moncrief Chair in Simulation-Based Engineering Sciences at the Oden Institute for Computational Engineering and Sciences and has Full Professor appointments with the departments […]
Curious how AI can help you brainstorm research topics or translate a research topic into a research question? In this guided hands-on workshop, you’ll learn how to use AI at […]
This workshop brings together students, researchers, practitioners, and policymakers to explore the development of AI-enhanced Geosystems that are transparent, fair, and accountable. This workshop delves into the ethical challenges and societal implications of deploying artificial intelligence in geospatial applications, emphasizing the need for equity, inclusivity, and transparency.
Curious how AI can help you brainstorm research topics or translate a research topic into a research question? In this guided hands-on workshop, you’ll learn how to use AI at […]
AMReX: A Performance Portable Software Framework for Adaptive Mesh Refinement Applications Abstract: AMReX is an open-source high-performance software framework for building massively parallel, performance-portable, block-structured adaptive mesh refinement (AMR) applications […]