Robust Processing Techniques for Complex RF Applications Using Generative AI/ML Techniques in the Presence of Training-Testing Distribution Mismatch
ID: AF254-D0808Type: BOTH
Overview

Topic

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

Agency

Agency: DODBranch: USAF

Program

Type: SBIRPhase: BOTH

Topic Link

https://www.sbir.gov/topics/12038

Additional Information

https://www.dodsbirsttr.mil/submissions/solicitation-documents/active-solicitations
Timeline
    Description

    The Department of Defense, specifically the United States Air Force (USAF), is seeking proposals for the Small Business Innovation Research (SBIR) topic titled "Robust Processing Techniques for Complex RF Applications Using Generative AI/ML Techniques in the Presence of Training-Testing Distribution Mismatch." The objective is to develop efficient techniques that enhance Generative AI/ML algorithms for radio frequency (RF) applications, particularly in scenarios where there are significant mismatches between training and operational data distributions, with a focus on anomaly detection and corrective measures. This initiative is crucial for improving the robustness of AI/ML applications in data-scarce environments, ensuring that these technologies can effectively adapt to real-world operational challenges. Interested parties must submit their proposals by June 25, 2025, with the opportunity being open for submissions starting May 7, 2025. For more information, please refer to the solicitation documents available at the provided source link.

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