There are a few different types of predictive modeling. Find out what makes each unique and how you can use them in your data projects.

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

If data types can be similarly abstracted, then complex ones may be able to take hold. If engineers implementing inference must manually decide which data types to employ for which layers or portions ...

A data model is a visual representation of data elements and the relations between them.

Using integrated modeling solutions to implement model-driven data management and development can help organizations share knowledge effectively and with minimum effort. It will certainly produce ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial intelligence models—without needing access to the original training data.

Three major types of language models have emerged as dominant: large, fine-tuned, and edge. They differ in key, important capabilities -- and limitations.