Organized by the Center for Teaching Excellence. This hands-on workshop guides instructors through the principles of personalized learning, emphasizing intentional design and learner agency. Participants will explore strategies for engaging students as co-designers in their learning journeys and discover how generative AI tools, especially those available through Texas A&M University, can support differentiated instruction and […]
ATTENTION PARTICIPANTS — The event has been moved online. Check your email for more details. The Machine Learning for Microscopy Hackathon accelerates the use of AI in microscopy and materials research. By connecting microscopy and machine-learning communities, we foster collaboration, open science, and reproducible workflows for imaging, spectroscopy, and automated experimentation. Global Hybrid with In-person at […]
A one-week training and team-formation summit and linked seed grant initiative to catalyze interdisciplinary teams, translate advanced AI into novel solutions, and support seed projects for future extramural funding. MISSION To bridge foundational and use-inspired AI research across Texas A&M by pairing AI method experts with domain researchers in structured ideation via a unique, linked […]
Thursday, January 15th, from 2:30 PM – 3:30 PM in Heep 440 and MS Teams. Abstract The rapid digitalization of agriculture has made data—such as drone imagery for crop monitoring, soil sensor outputs, seed genetics, and livestock genomic profiles—central to productivity and innovation. Yet, this dependence introduces new cybersecurity risks. Breaches involving seed database manipulation, […]
The Tethered Informatics and Data Analytics Lab (TIDAL) is hosting their annual hackathon! TIDAL a student organization dedicated to advancing AI and machine learning education through hands-on experiences, collaborative projects, and community engagement.
Thomas Tucker is an artist, researcher, and Associate Professor of Creative Technologies in the School of Visual Arts at Virginia Tech, where he also serves as a Senior Fellow at the Institute for Creativity, Arts, and Technology. His work explores immersive XR environments, animatronics, and multisensory systems that merge real-time computation with physical and performative experience. Through […]
Master the statistical tools researchers actually use! This two-day workshop will start with the fundamentals of R and move on to advanced analytics and modeling. Both graduate and undergraduate students are welcome to attend, and NO experience is needed for day one! Free food will be provided, and students are encouraged to bring their laptops. […]
Join Jimmy Newland for experiences conducting outreach on quantum engineering for teachers and students!
GenAI Literacy Seminar: Presented by Armando Garcia, Senior Academic Engineer at MathWorks This session provides an overview of best practices and key use cases for applying Generative AI in engineering education. We will address academic integrity considerations and demonstrate practical examples of how these technologies can enhance teaching and learning. The session will explore the […]
Organized by the Center for Teaching Excellence. 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 […]
Scott Powers is an assistant professor of sport analytics and statistics at Rice University, where he has served since 2023. He earned his PhD in statistics in 2017 before working in professional baseball for six years—five with the Los Angeles Dodgers, where he was analytics director during their 2020 World Series championship season, and one […]
Organized By the Center for Teaching Excellence. This hands-on workshop guides instructors through the principles of personalized learning, emphasizing intentional design and learner agency. Participants will explore strategies for engaging students as co-designers in their learning journeys and discover how generative AI tools, especially those available through Texas A&M University can support differentiated instruction and […]
