Information processing apparatus, information processing method, and non-transitory computer readable medium

An information processing method for applying to an artificial intelligence model, comprising:

• acquiring a first data set having a first data trend and a second data set having a second data trend different from the first data trend, the first data set and the second data set being input to the AI model and discriminated by the AI model;
• calculating a first feature vector based on the first data set and a second feature vector based on the second data set;
• and
• generating augmented data having the second data trend based on the first feature vector and the second feature vector.

A non-transitory computer readable medium including computer executable instructions, wherein the instructions, when executed by a processor, cause the processor to perform a method comprising:

• acquiring a first data set having a first data trend and a second data set having a second data trend different from the first data trend, the first data set and the second data set being input to the AI model and discriminated by the AI model;
• calculating a first feature vector based on the first data set and a second feature vector based on the second data set;
• and
• generating augmented data having the second data trend based on the first feature vector and the second feature vector.