Robust Processing Techniques for Complex RF Applications Using Generative AI/ML Techniques in the Presence of Training-Testing Distribution Mismatch
ID: AF252-D001Type: 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
Timeline
    Description

    The Department of Defense, specifically the United States Air Force, 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 advanced 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. This initiative is crucial for ensuring the reliability and performance of AI/ML systems in data-scarce environments, leveraging high-fidelity RF Digital Twins to demonstrate the robustness of the proposed solutions. Interested parties must submit their proposals by May 21, 2025, with the opportunity being open for submissions starting April 2, 2025. For more details, applicants can refer to the official solicitation document available at the provided link.

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