Topological Data Analysis Machine Learning Algorithm (TDAML)
Integrating TDA with Artificial Intelligence/Machine Learning (AI/ML) for Data Fusion and Target Recognition
Benefits of TDAML:
- Creates compact "topological fingerprints" for data samples.
- Transforms raw sensor data into deep learning-friendly formats
- Uses TDA to encode and fuse data for AI/ML systems.
- Enhances resilience against interference and adversarial threats.
- Reduces data size while preserving detection accuracy.
Applications for TDAML:
Collision Mitigation in Autonomous Vehicles
Autonomous Target Recognition (ATR)
Deployable Autonomy
Data Fusion in Contested Environments
Intelligence, Surveillance, and Reconnaissance (ISR)
Explore Partnership Opportunities for this Technology
Contact the Griffiss Institute Innovation & Partnerships Team to Learn More!
Tanya Weller
Senior Manager, Commercialization & Innovation
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