#FYI – ELAI Global Conference 2025
GRAILE AI Learning Opportunity – Empower Learners for the Age of AI (ELAI) is the premier conference globally investing the research and practice around AI adoption in schools, universities, and corporate settings.
GRAILE AI Learning Opportunity – Empower Learners for the Age of AI (ELAI) is the premier conference globally investing the research and practice around AI adoption in schools, universities, and corporate settings.
Dr. Shan Xu is an Associate Professor in the Department of Public Relations and Strategic Communication Management at Texas Tech University. Her research adopts a dynamic, longitudinal lens to investigate human-technology interaction in organizational, health, and science communication contexts. Her work has been published in journals including Journal of Communication, Communication Research, Human Communication Research, […]
This workshop highlights the importance of aligning course learning outcomes with content and demonstrates how generative AI tools can support this process. Participants will review the purpose of learning outcomes, evaluate alignment strategies, and explore practical ways to use generative AI to enhance alignment. Participants are encouraged to bring a syllabus to use during the […]
For faculty and staff with a technical background who are interested in deepening their understanding of Generative AI (GenAI) and its applications. Participants will explore the distinctions between GenAI and traditional AI, critically evaluate popular tools, and analyze their strengths and limitations. Organized by the Institute of Data Science.
Dr. Youngsoo Choi is a staff scientist at LLNL’s Center for Applied Scientific Computing, where he develops efficient foundation models for computational science. His research focuses on creating surrogates and reduced-order models to accelerate time-critical simulations in areas such as inverse problems, design optimization, and uncertainty quantification. He has pioneered advanced ROM techniques, including machine […]
Organized by the University Libraries. This workshop introduces instructors to open licensing through Creative Commons and details the six licenses and their permissions that allow use, reuse, and revision without violating copyright laws. Participants will also see how these licenses allow material with Creative Commons licenses to be ingested into AI tools to create ancillary […]
For faculty and staff with no prior experience in AI and a limited technical background. Participants will receive an introduction to AI principles, the strengths and limitations of GenAI tools, and learn how to use No-Code tools and methods to leverage AI. Organized by the Institute of Data Science.
This short course aims to provide an intuitive understanding of data science and its applications in geoscience and carbon cycle research. By presenting two focused case studies, one on rock weathering flux estimation and another on riverine ecosystem metabolism prediction, participants will gain hands-on experience with emerging data science methods and understand their strengths and […]
Dr. Piush Khanal is a quantitative geneticist currently working for Stgenetics, an industry leader in animal genetics, and a data scientist with over 10 years of experience in agricultural big data, high-dimensional data analysis, and machine learning applications. He has authored 25+ peer-reviewed publications and abstracts and is highly experienced in statistical genetics, experimental design, […]
Chatbots like ChatGPT may seem magical, but what’s really going on inside their “brains”? The answer is Transformers—a breakthrough in artificial intelligence. Unlike older models that read words one at a time, transformers look at an entire sentence (or even a whole paragraph) at once, figuring out how each word relates to the others. This […]
Join industry leaders, researchers, and policymakers at the 2025 Texas Semiconductor Summit. Explore the future of semiconductor technology in Texas and beyond.
Dr. Sherecce Fields (Department of Psychological & Brain Sciences) and Dr. Hye-Chung Kum (Department of Health Policy and Management) will be presenting their research on a human-computer hybrid approach to chronic disease care. Free snacks and coffee will be provided! Location: Blocker 220 Abstract This study contributes to the limited literature on applying machine learning […]