Summer 2026, CADS will offer two hands-on programs designed to advance researchers’ skills in applied Artificial Intelligence and High-Performance Computing.
Participants will gain access to content and software aimed at strengthening their skillsets and expanding their research potential.
Who should Apply?
Priority Groups: Faculty, Staff and Student Researchers.
• Asynchronous content available 5/1
• Office hours and guided support
• In-person session on 5/22
Deadline to Apply: 4/30
3rd TXST Applied AI Summer School
The Third TXST Applied AI Summer School training teaches faculty, post-doctoral researchers, and advanced graduate students — especially from non-AI fields — in foundational AI methods. The program builds skills for interdisciplinary research and AI-integrated curricula, empowering participants to advance data analytics at TXST without external reliance.
This program provides hands-on training in artificial intelligence, covering practical applications in machine learning, data analytics, and computational modeling.
Instructors: Dr. Jelena Tešić and Ms. Mirna Elizondo
Supported by the National Science Foundation (Award No. 2334268).
• Asynchronous content available 5/1
• Office hours and guided support
• In-person session on 5/28
Deadline to Apply: 4/30
3rd TXST High-Performance Computing Summer School
Building on prior high‑performance computing workshops, this summer school immerses participants in the principles and practice of HPC for research. Learners gain experience using TXST’s HPC infrastructure and develop the skills to deploy parallel computing and optimization techniques in computationally intensive research problems, helping them accelerate workflows and expand computational capacity in their disciplines.
This workshop empowers participants to apply HPC and AI in their research and teaching, building advanced data analytics capabilities within TXST—without relying on external tools or funding.
Instructor: Dr. Damian Valles Molina
Supported by the National Science Foundation (Award No. 2334268).