SKIP TO PAGE CONTENT
AI-Ready Institution

Transforming Tomorrow’s Research and Education with AI

Jag-AI’s primary goal is to establish a robust Artificial Intelligence (AI) infrastructure at Texas A&M University-San Antonio by enhancing the research capacity of the institution and developing AI-focused curricula and training. Jag-AI will achieve this goal through two initiatives:

  1. Foundational and Use-Inspired AI Research Initiative
    • The goal of this initiative is to improve health care and quality of life, transform national defense security and effectively utilize cloud computing.
  2. AI for All Education and Training Initiative
    • The goal of this initiative is to generate interest, increase awareness and advance careers in AI among underrepresented minority groups, including women, by developing curricula and providing training to faculty and researchers.

The integration of AI into research and academic programs will significantly enhance A&M-San Antonio's goal of becoming a national model for academic success — specifically regarding quality of life, national defense and security and lifelong education. Developments in AI will provide educational opportunities, encourage multi-disciplinary research collaboration and foster partnerships with industry and government agencies to benefit economically disadvantaged students across Texas. Jag-AI strives to accelerate AI research, education and workforce development for the benefit of both A&M-San Antonio and the communities it serves.

Training Workshop Series: Machine Learning and AI Fundamentals for Research

  • Jag-AI Fall 2024 Training Workshop will be coming
  • Jag-AI Summer 2024 Training Workshop held on Fridays, June 14 and June 21
  • Jag-AI Spring 2024 Training Workshop held on Fridays, Feb 23, March 23 and April 12
Contact

Interested in the program? Contact Dr. Jeong Yang:

Mailing Address:

Dept. of Computational, Engineering and Mathematical Sciences
Center of Information Technology and Cyber Security
College of Arts and Sciences

Attention: NSF Jag-AI 
Texas A&M University-San Antonio
One University Way, San Antonio, TX 78224

Phone: (210) 784-2315
E-mail: Jeong Yang

NSF Logo
This material is based upon work supported by the National Science Foundation under Grant No. 2334243. Any opinions, findings, and conclusions, or recommenations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.