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STTR DON27TZ02-NV002 (Navy): Field-Friendly Artificial Intelligence and Machine Learning Systems

U.S. Department of Defense — Navy

Posted
Nov 13, 2026
Closes
Jan 6, 2027 (in 54 days)

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Amount

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Who can apply

small_business

Small Business. Startup. Research Institution (partner required)

About this opportunity

Navy STTR topic — Accepting submissions 2026-12-02 to 2027-01-06. Current DNN architectures suffer from inherent "Black Box" vulnerabilities, demanding massive computational scaling and offering no clear link between parameter count and performance. The proposed model must address these shortfalls: - Optimized Resource Utilization: Unlike DNNs that heuristically overparameterize to boost accuracy, the proposed model must quantitatively map parameter count to expected performance and enable users to identify the minimum configuration required for mission success, significantly reducing computational overhead, complexity, and deployment costs. - Transparency: The model must replace opaque, distributed neural layers with novel methods for interpretability and trust that go beyond the current...

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