Artificial Intelligence / Machine Learning (AI/ML)-Based Radar Data Compression
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Summary
The Department of War is seeking proposals to develop artificial intelligence and machine learning based methods, such as deep autoencoders or transformer models, to compress raw radar data into low‑bit representations for efficient storage and transmission while preserving detection performance. The effort targets next‑generation synthetic aperture radars and other high‑rate sensors, aiming to reduce bandwidth needs for both military and civilian applications.