Machine learning-based generation of outputs in augmented reality environments

Abstract

An apparatus comprises at least one processing device configured to generate, using a first machine learning model, a first data structure comprising input representations of one or more input components from an augmented reality environment. The at least one processing device is also configured to generate, using a second machine learning model that takes as input at least a portion of the first data structure, a second data structure comprising at least one vector representation characterizing relevance of one or more of the input representations in the first data structure. The at least one processing device is further configured to generate, using a third machine learning model that takes as input at least a portion of the first data structure and at least a portion of the second data structure, an output response, and to present the output response to a user in the augmented reality environment.

CPC Classifications