people working with data and ai

Advancing Applied AI & Data Science

For Industry, Society, and Discovery
The Institute supports:
  • Externally funded research initiatives
  • Non-traditional AI training programs
  • Expanded infrastructure for AI/DS/ discovery
  • Two-way academic-industry engagement
  • Translation of AI research into high-impact solutions

UNT researchers and students are developing next-generation AI technologies that cut across sectors such as:

Health & Bioinformatics
AI for disease detection, diagnostics, genomics, and population health
Smart Cities & Infrastructure
Transportation analytics, autonomous systems, and urban planning decision tools
Advanced Materials & Manufacturing
AI-powered materials discovery, robotics, and predictive modeling
Cybersecurity & Defense
Threat detection, anomaly modeling, and secure automation
Education & Learning Analytics
AI-supported advising, personalized learning, and student success models
Creative AI
Generative media, music, art, and human-AI collaboration at scale
Science
AI for scientific discovery, data-driven modeling and simulation, and AI-driven scientific computing
Quantum Computing
Quantum machine learning, hybrid quantum-classical algorithms, AI for quantum system design and optimization
Trustworthy AI
Explainable AI, fairness and bias mitigation, robustness and safety, privacy-preserving machine learning