A Programmable Surface Plasmonic Neural Network To Detect And Process Microwaves

A research team led by Prof. Tie Jun Cui at Southeast University in China has recently developed a new programmable neural network based on a so-called spoof surface plasmon polariton (SSPP). This newly proposed surface plasmonic neural network (SPNN) architecture can detect and process microwaves, which could be useful for wireless communication and other technological applications. The primary objective of this research was to further improve the performance of neural networks on complex nonlinear problems, while also making them suitable for a broad variety of applications. SPNN can be programmed for different weight configurations, which means that it should theoretically generalize well across different tasks.