SBIR/STTR Research Award

AAI/MLT for ATR USing small/reduced Data sets

Award identifier e62f4cee64eaff392b9a9cf6b9c6e7a70b1c487f8d3777f9513387a5f28b342cAwarding agency Department of Defense · Navy

Award amount

$139,825

Program and phase

SBIR · Phase I

Award year

2024

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
ETEGENT TECHNOLOGIES, LTD.
Proposal award date
2024-09-09
Contract end date
2025-03-08
UEI
FLKAMJTNTDY1
Solicitation number
24.1
Topic code
N241-025

Research abstract

Advanced Artificial Intelligence/Machine Learning Techniques for Automated Target Recognition (ATR) Using Small/Reduced Data Sets: Develop an innovative automatic target recognition (ATR) capability that leverages state-of-the-art Artificial Intelligence/Machine Learning (AI/ML) technology to support naval mine countermeasure (MCM) operations using reduced data sets.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

94 SBIR/STTR records share this UEI (1997–2025). Reported award amounts total $50,147,198. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Science Foundation, Department of Energy, National Aeronautics and Space Administration

Agency intelligence

Department of Defense

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