SBIR MDA27BZ02-DV010 (Missile Defense Agency): Multi-Fidelity Transfer Learning for Defense Applications

About this opportunity

Missile Defense Agency SBIR topic — Accepting submissions 2026-12-02 to 2027-01-06. Rapid Artificial Intelligence (AI) integration into the MDS is required for the United States to properly defend itself against its adversaries. The development of robust Artificial Intelligence/Machine Learning (AI/ML) agents for complex missile defense and aerospace applications is often constrained by the computational cost, limited availability, and security restrictions of high-fidelity simulation environments. Transfer learning provides a critical pathway to overcoming these barriers. By initially training agents on low-fidelity models or unclassified representations—where data is abundant and computational demands are reduced—core behaviors, strategies, and decision-making frameworks could be effici...