Purpose
Artificial intelligence (AI) is poised to revolutionize national security, enabling smarter, faster, and more efficient responses to emerging threats. Texas A&M University is exceptionally qualified to lead the establishment of a National AI Institute for National Security and Defense, offering a powerful convergence of capabilities in AI, large language models, and data science. Texas A&M recognizes the urgent national need of accelerating the delivery and adoption of frontier AI capabilities that can provide predictive, autonomous, and adaptive security solutions. By leveraging our subject matter experts, secure networking, state-of-the-art facilities, and interdisciplinary research clusters, we propose to develop scalable AI technologies for critical areas such as intelligence operations, command and control of autonomic vehicles, biodefense, and terrorism.
Background
The future of AI in the national security and defense space is predicated on having sufficient technical talent, the experts to train it, and computational resources. Texas A&M prepares the future of America’s national defense force through the Corps of Cadets, a large student military organization that focuses on developing students for leadership roles. The university is uniquely able to integrate interdisciplinary expertise across computer science, cybersecurity engineering, political science, defense studies, public policy, and health. Further, The Texas A&M University System has made a landmark investment in AI and high-performance computing (HPC) through the deployment of three NVIDIA DGX SuperPODs. Once operational in late fall 2025, the integrated system will house one of the most powerful academic AI supercomputers in the United States.
Snapshot of Defense Partnerships
NUCLEAR: Center for Nuclear Security Science and Policy Initiatives; Nuclear Science Center; Nuclear Solutions Institute
CYBERSECURITY: Texas A&M Cybersecurity Center; Texas A&M Global Cyber Research Institute
BIOSECURITY: Biosecurity and Pandemic Policy Center
Institute Focus Areas
The Texas A&M University AI Institute will incorporate both formal training programs (e.g. certificate programs) and informal hands-on opportunities focused on attracting, training, and retaining an innovative workforce across the technical domains of AI work roles. In alignment with Department of Defense AI enablement efforts, the institute focus areas will cover both warfighting (command and control decision support, operational planning, logistics, uncrewed and autonomous systems, intelligence activities) as well as enterprise management (enterprise logistics and supply chain, health care, information management, legal analysis and compliance, procurement processes). The institute will pursue dominance through the following sectors:
AI in Intelligence Operations
- Process data quickly and with greater precision via geospatial analysis.
- Automate repetitive tasks and provide recommendations.
- Reduce human error and augment human decision-making.
- Increase accuracy and decrease collateral damage in operations.
- Enhance threat detection (when combined with computer vision and machine learning) and reduce false alarm rates.
AI in Command and Control of Autonomous Vehicles
- Strengthen the autonomous navigation of ground and aerial vehicles.
- Improve human-machine teaming, enhancing coordination through real-time data analysis, assessing situations, and identifying threats.
- Suggest courses of action to improve mission success.
- Support multi-domain operations by seamlessly integrating air, land, sea, and cyber capabilities, allowing for more coordinated operations.
AI for Biodefense and Bioterrorism
- Integrate multi-modal AI, digital twins, and predictive analytics to address threats (from viral pandemics to synthetic bioterror agents).
- Ensure rapid detection, autonomous response, and resilient recovery strategies, while driving transformative solutions for biosecurity.
- Bolster supply chain integrity for food, water, and defense assets.
- Cultivate a next-generation workforce in biodefense.
Read Stories of Impact in Artificial Intelligence and National Security
Texas A&M Researchers Map America’s Power Outage Hot Spots Using AI
Researchers from the Urban Resilience AI Lab at Texas A&M University have used machine learning to create a nationwide Power System Vulnerability Index (PSVI) that identifies areas at increased risk of power outages. Researchers also observed that many AI data centers — like the ones used to store this study’s data — are located in the hot spots, showing the need for increased investments in infrastructure to protect these resources.
Read More About Mapping America’s Power Outage Hot SpotsTexas A&M System To Lead $59.8M Autonomous Helicopter Wildfire Response Initiative
State and federal partners join forces at Bush Combat Development Complex to revolutionize wildfire response by testing AI-powered, pilotless helicopters. The project is intended to revolutionize how Texas responds to the wildfires that ravage the state every year. The Defense Advanced Research Projects Agency, or DARPA, selected the Texas A&M System to collaborate on the agency’s Aircrew Labor In-cockpit Automation System, better known as ALIAS.
Read More About the Autonomous Helicopter Wildfire Response InitiativeAI Turns Drone Footage Into Disaster Response Maps In Minutes
A tool developed at Texas A&M University is set to transform how emergency responders assess damage after disasters. The technology, known as CLARKE (Computer vision and Learning for Analysis of Roads and Key Edifices) uses artificial intelligence and drone imagery to evaluate damage to buildings, roads and other infrastructure in a matter of minutes.
Read More About Disaster Response MapsTexas A&M Hosts Inaugural AI Workshop For Science And Engineering
Texas A&M brought together a high-powered crowd of researchers, faculty, students, and at least one curious AI model recently for the first-ever Research in AI for Science and Engineering (RAISE) Workshop, held at the Zachry Engineering Education Complex. The day-long event explored how artificial intelligence — especially those mysterious “foundation models” and ambitious AI agents — can accelerate scientific discovery and engineering breakthroughs.
Read More About the Inaugural AI Workshop For Science And EngineeringSpy Vs. Spy: Texas A&M Researchers Work To Secure Messaging
Saxena, professor of Computer Science and Engineering and associate director of the Texas A&M Global Cyber Research Institute, leads the SPIES Lab where, among other projects, researchers explore how secure messaging and calling apps like Signal, WhatsApp and Telegram work and how they can be improved. “SPIES” stands for Security and Privacy in Emerging Computing and Networking Systems.
Read More About Secure Messaging