Photonics and AI in Information Technologies

Artificial Intelligence (AI) has accelerated the development of information technologies (IT). Through deep learning from previous data, an AI system can predict future events and make decisions. Photonics has played an important role in AI, and AI can help facilitate the design of photonics components and systems. This special issue discusses the current status and future perspectives on photonics and AI in IT covering from materials science, device physics, to systems and applications, including matrix computation devices, nonlinear activation devices, bio-inspired photonic structures, AI for inverse design, reservoir computing systems, deep neural networks and machine learning architectures, LiDAR, robots, unmanned autonomous vehicles, drones, smart data centers, and intelligent communications and computing.

Guest Editors: Qixiang Cheng, Madeleine Glick, and Thomas Van Vaerenbergh, and APL Photonics Editors Yikai Su