Neuromorphic and Intelligent Photonics

Dear Colleagues,

Bringing together the worlds of neuroscience, artificial intelligent (AI), and photonics, the interdisciplinary field of Neuromorphic and Intelligent Photonics offers orders-of-magnitude improvements in both speed and energy efficiency over digital electronics, enabling the powering of the next generation of AI algorithm. In comparison to traditional electronic technologies, photonics is not bound by the intrinsic limitation of transistor-based digital circuits, which enables it to keep breaking the exponential hardware and computing growth per unit area without hitting the thermal dissipation limit. In neuromorphic photonics, the analog representation of information eliminates the sampling and digitization necessary in its digital counterpart, therefore avoiding the associated speed reduction and signal distortion occurring in digital systems. Photonics implementation of AI and neuromorphic systems results in systems with good signal fidelity, high efficiency, high interconnectivity, highly parallel architectures, and high information density. On the other hand, the integration of AI technologies into photonic systems has proven to be promising for exacting knowledge from large datasets generated and transported by photonic systems. The exploitation of machine-learning techniques has been shown to have an impact in the areas of communications, imaging, and sensing.

Apart from the considerable unique values that neuromorphic and intelligent photonics brings to traditional electronic and AI systems, this interdisciplinary field holds a promising future in various emerging areas, such as robotics, unmanned autonomous vehicles (UAVs), autonomous driving, as well as smart and big data.

This Special Issue will address the current progress and latest breakthroughs in “Neuromorphic and Intelligent Photonics”, covering, among others, the topics listed below. Both original research papers and review articles are welcome.

Prof. Mable P. Fok
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• Optical neural systems
• Photonic neural networks
• Neuromorphic photonic circuits
• More-than-Moore technologies
• Excitable lasers
• Photonic synapse
• Machine learning
• Deep learning
• Smart optical systems
• Neurophotonics