Scout | Robust Processing Techniques for Complex RF Applications Using Generative AI/ML Techniques in the Presence of Training-Testing Distribution Mismatch

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Robust Processing Techniques for Complex RF Applications Using Generative AI/ML Techniques in the Presence of Training-Testing Distribution Mismatch

This grant opportunity focuses on developing techniques to enhance Generative AI/ML algorithms for radio frequency (RF) applications, particularly when there are significant differences between training data and real-world use cases. These techniques should quickly identify and correct data anomalies to maintain AI/ML performance, and their effectiveness should be tested using a high-fidelity …

Source

Agency: Air Force

Dates

Opportunity Released: April 23, 2025

Keywords

Generative AI

Machine Learning

RF Applications

Anomaly Detection

Digital Twin

Air Force

High-Fidelity Modeling

AI/ML Algorithms

Phase II

Dual Use Applications

Supporting Links

Documents

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