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Stanford researchers design and demonstrate a novel in situ backpropagation training algorithm for photonic implementations of neural networks.

Stanford researchers in The Fan Group have developed an optical device that can fine tune the color of each photon in a stream of light. Existing methods simply reroute photons of a particular frequency, but do not actually change the photons frequencies.

Stanford researchers have developed an electro-optic hardware platform for nonlinear activation functions in optical neural networks.

Stanford researchers have developed a high throughput, low energy consumption, optical method for real-time, image differentiation (image sharpening) using a photonic crystal slab.

Engineers in Prof. Shanhui Fan's laboratory have developed an efficient, scalable, in-situ method to train, configure and tune complex photonic circuits for artificial intelligence and machine learning.