Announcing a new publication from Opto-Electronic Advances; DOI 10.29026/oea.2026.250263 SHANNON, CLARE, IRELAND, April 29, 2026 /EINPresswire.com/ — Announcing a new publication from Opto-Electronic Advances; DOI 10.29026/oea.2026.250263 For centuries, the manipulation of light has relied on bulky, heavy components like glass lenses and prisms. From the camera in a smartphone to the microscopes in a laboratory, traditional optics are constrained by physical laws that dictate the size and thickness. However, a revolution is underway with the advent of “metasurfaces”. They are ultra-thin, flat optical devices composed of millions of sub-wavelength structures that can bend, focus, and filter light at will, in ways that natural materials cannot. This has the potential to shrink bulky cameras down to the thickness of a sheet of paper. Yet, designing these metasurfaces is a task of immense complexity. A single device may contain millions of nano-pillars, each requiring precise engineering and fabrication. Navigating this infinite design space using traditional human intuition or standard computer simulations is a significant bottleneck. This review article explores how artificial intelligence (AI) is shattering that bottleneck. Just as AI has transformed language processing and image recognition, it is now reshaping the field of optics, giving rise to “AI-Assisted Metaphotonics.” Deep learning algorithms are proving to be the perfect partner for nanophotonics. Where a human engineer might take weeks to simulate a single design, AI-powered “surrogate models” can predict how light will interact with a nanostructure in milliseconds. More impressively, AI enables “inverse design.” Instead of an engineer guessing a structure and checking if it works, they can simply tell the AI the desired optical property, such as a specific color or focal length, and the AI generates the exact complex geometry required to achieve it. But the synergy goes beyond just design. The review highlights how AI is being integrated into