I understood that PCA is there as one of the employed ways to augment the input data, then other ways are employed for the analysis of the data - that is where

I understood that PCA is there as one of the employed ways to augment the input data, then other ways are employed for the analysis of the data - that is where the literal "Artificial Intelligence" happens. -- Edit: see also, for example: > In contrast, PCA finds correlations between different regions in Fourier space in the training data, which allows PRIMO to generate physically motivated inferences for the unobserved Fourier components ...inferences are drawn on the interpolated data. Automated model building.