SYNTHETIC DATASET REGENERATION FOR AI SYSTEMS AND APPLICATIONS

Abstract: in various examples, synthetic dataset regeneration for ai systems and applications is described herein. for instance, systems and methods described herein may use a simulator to generate a synthetic dataset along with data (referred to, in some examples, as “log data”) representing information associated with the generation of the synthetic dataset by the simulator. for instance, the log data may represent at least parameters used to generate synthetic dataset, values for the parameters, assets associated with the parameters, and/or values representing results associated with the synthetic dataset. the systems and methods may then use the log data to recreate, modify, and/or enhance the synthetic dataset. for example, the synthetic dataset may be recreated by providing at least the log data as input to the simulator such that the simulator regenerates the dataset using the same parameters, values, and/or assets.

Inventor(s): Matthew Trepte, Jack Yusong Zhang, Gordon Grigor

CPC Classification: G06N3/08 (Learning methods)

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