The provided text explores the transformative shift from traditional Electronic Warfare (EW) to Cognitive Electronic Warfare (CEW), driven by the integration of artificial intelligence (AI) and machine learning (ML). It outlines how traditional EW's library-dependent, reactive approach is being replaced by CEW's adaptive, real-time learning capabilities across three core pillars: Electronic Attack, Electronic Protection, and Electronic Warfare Support. The text further details the specific ML techniques—such as Deep Neural Networks, Reinforcement Learning, and Generative Adversarial Networks—that enable advanced functions like real-time threat detection, dynamic jamming, and sophisticated digital deception. Finally, it addresses the operational challenges and vulnerabilities of CEW, including adversarial attacks and the "black box" problem of AI, while also forecasting the future trajectory of CEW's convergence with autonomous systems and swarm warfare.

Research done with the help of artificial intelligence, and presented by two AI-generated hosts.