Physics-based Data Augmentation for Machine Learning (ML) Models

Physics-based Data Augmentation for Machine Learning (ML) Models

ID: N251-039Type: BOTH

Overview

Topic

Physics-based Data Augmentation for Machine Learning (ML) Models

Agency

Agency: DODBranch: NAVY

Program

Type: SBIRPhase: BOTH

Topic Link

https://www.dodsbirsttr.mil/topics-app/

Additional Information

https://www.dodsbirsttr.mil/topics-app/

Timeline

Description

The Department of Defense, specifically the Navy, is seeking innovative solutions through the Small Business Innovation Research (SBIR) program to develop a tool for synthesizing realistic physics-based sonar data aimed at training Artificial Intelligence/Machine Learning (AI/ML) algorithms. The primary objective is to create a tool that can generate high-fidelity synthetic sonar sequences, addressing the current limitations in training data availability and the computational demands of existing models. This initiative is critical for enhancing sonar signal processing capabilities, particularly in scenarios where real-world data collection is impractical or cost-prohibitive. Interested parties should note that the solicitation is set to open on January 8, 2025, with a closing date of February 5, 2025, and further details can be found at the official SBIR website.

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