Importance

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Abstract

Systems and methods are provided for an optical transport implementation of an inference engine capable of performing inferences in the optical domain. Examples include an optical device that includes photon directing devices disposed along an optical axis, each photon directing device corresponds to a layer of a trained machine learning model. Lenses are provided for each photon directing device, which are formed based on weights of a layer of the trained machine learning model corresponding to the respective photon directing device. The examples may also include optical sensors that correspond to inferences of the trained machine learning model, and the photon directing devices may be configured to receive light of an input and direct the light to one of the optical sensors according to the trained machine learning model.

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First Claim