A white paper from IEEE Spectrum and Wiley explores the application of AI and machine learning in cognitive radar and electronic warfare systems. It details how mode-agile threats are outpacing traditional static systems, necessitating adaptive AI/ML architectures for real-time countermeasures. The paper discusses the AI/ML foundations, implementation challenges like computational demands and latency, and the importance of hardware-in-the-loop testing for algorithm development. AI
IMPACT AI and ML are enabling adaptive, autonomous countermeasures in radar and electronic warfare systems to combat evolving threats.
RANK_REASON The item is a white paper discussing the application of AI/ML in a specific technical domain (radar/EW), which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
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