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.

Topics covered include, but are not limited to:

Guest Editors

Qixiang Cheng, University of Cambridge

Madeleine Glick, Columbia University

Thomas Van Vaerenbergh, Hewlett Packard Labs

APL Photonics Editor

Yikai Su, Shanghai Jiao Tong University

Please note that papers will be published as normal when they are ready in a regular issue of the journal and will populate on a virtual collection page within a few days of publication. Inclusion in the collection will not cause delay in publication.

How to Submit:

1. Please submit through the online submission system.
2. Under manuscript type → select Article or Letter, as appropriate
3. Under manuscript information → Title/Abstract → select “Invited Submission: No”.
4. Under manuscript information → Manuscript classification → select “Photonics and AI in Information Technologies”