Once you train a machine learning model on training examples—whether it’s on images, audio, raw text, or tabular data—what you get is a set of numerical parameters.

ShengShu says its Vidar embodied AI model combines physical data and simulated video for a more scalable path to training ...

Data: Usually, ML teams simply label all the data they have available to train their model — which not only takes time and resources to label well, but also requires more complicated labeling ...

This paper deals with statistical inference for the fixed effects panel data seemingly unrelated partially linear regression model. The model naturally extends the traditional fixed effects panel data ...