Cloaking and Antennas: From Theoretical Paradigms to Next‐Generation Intelligent Systems

Abstract Electromagnetic cloaking techniques have evolved significantly over the past two decades, transitioning from mere concepts to functional implementations. Though their applications abound, those involving antennas are among the most widely investigated, spurred by the potential to render radiating/receiving components invisible or tailor their scattering properties—a pursuit of interest since the earliest metamaterial‐based cloaks. This review maps the development of leading cloaking methodologies, from the pioneering theories of transformation optics, scattering cancellation, and transmission‐line networks to the rise of dynamic, self‐adaptive systems fueled by recent advances in artificial intelligence. Each approach is examined in terms of its underlying mechanisms, prevailing limitations, and antenna integration capacity, particularly for addressing mutual coupling and blockage effects in dense array configurations. Finally, a comparative analysis reveals that intelligent cloaking systems combining deep learning with transformation optics and reconfigurable metasurfaces offer particularly promising solutions for modern stealth, sensing, and communication systems.