This workshop will consist of lectures, demonstrations, and exercises in which undergraduate students, graduate students, and faculty will conceptually understand correlation and regression (e.g., simple, multiple, hierarchical) and apply them […]
Dr. Manoranjan Majji, Associate Professor in the Department of Aerospace Engineering, is leading a panel to discuss the upcoming challenges and opportunities for space technology.
AggieSat Laboratory is a student-run space program that trains students in systems engineering through hands-on experience in the design, building, testing, and operation of space systems. Two projects will discuss how their autonomous vehicles will help explore other planets. Join us to see what new adventures await you.
Join us for this unique seminar and learn about the advances in agriculture, biology, and the physical sciences that will allow us to visit Mars… and maybe start living there! […]
A brief history of space science and the inextricable interconnections between our understanding of space mechanics and observational data is discussed. This lecture talks about how Kepler’s laws, the most […]
This workshop will consist of lectures, demonstrations, and exercises in which undergraduate students, graduate students, and faculty will conceptually understand correlation and regression (e.g., simple, multiple, hierarchical) and apply them […]
Learn how to implement multiple AI-based approaches to solve a specific use case of identifying network intrusions for telecommunications. NVIDIA Course Overview (Do not register through NVIDIA) Instructor: Haoyu Niu, […]
On April 15th, 2024, Cynthia Parr, the Chief Data Officer of USDA’s Research, Education, and Economics Mission Area, will present a data science seminar on “Cultivating Opportunity: Data Science in the USDA Research, Education, and Economics Mission Area”.
The Digital Twin Lab at Texas A&M Institute of Data Science will host a collaborative workshop on Reduced Order Modeling (ROM), organized in partnership with Texas A&M High Performance Research Computing and the libROM team at Lawrence Livermore National Laboratory (LLNL).
This workshop aims to provide a landscape of recent research activities on multi-agent learning in dynamic environments, and foster potential collaborations among the researchers broadly working in the fields of reinforcement learning, game theory, optimization and control, and those that are interested in engineering and science applications of such methods.
Seminar by Grayson Randall, IEEE MOVE Team Operations Lead 1:30 pm – 2:30 pm – Presentation 2:30 pm – 3:30 pm – IEEE MOVE Disaster Relief Truck Tour Location: 220 BlockerOnline […]
This workshop is part of the Texas A&M Research Computing Symposium. Learn the fundamental tools and techniques for accelerating C/C++ applications to run on massively parallel GPUs with CUDA®. NVIDIA […]
