The Department of Defense, specifically the Navy, is seeking proposals for the Small Business Innovation Research (SBIR) topic titled "Signal Cueing in Complex Environments." The objective is to design and develop a parallel system of adaptive machine learning (ML) cue generators that enhance electromagnetic spectrum monitoring (ESM) systems by effectively responding to various signal classes based on their occurrence probabilities and importance. This initiative is crucial for advancing future electronic support measures (ESM) systems, which require sophisticated signal processing capabilities to adapt to complex environments. Proposals for Phase I are due by June 12, 2024, and should demonstrate access to an existing ML cue generator, with a focus on developing a scalable architecture for a multi-cue generator system. Interested parties can find more information and submit proposals through the official SBIR website at https://www.dodsbirsttr.mil/topics-app/.