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 …
Develop efficient techniques to support Generative AI/ML algorithms for RF applications in the presence of severe mismatches in the distributions of the data between training and live operations. These techniques should rapidly detect anomalies in the data and provide corrective measures to assi…
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