This model-view-controller design pattern tutorial explains the role of each of the MVC components, along with how MVC simplifies application development.

Data modeling best practices give structure and direction to an organization's data. Read more about data modeling now.

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.

Data analytics have either been centralized or decentralized. Data mesh tried to fix that. The hub-and-spoke model goes further.

A data model can also be underfitted, meaning it is too simple, with too few data points to be effective. Overfitting is a more frequent problem than underfitting and typically occurs as a result ...

A systems integrator explains what software historians are and why production plants need a repository of real-time industrial data.

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

Still, the randomness of economic data often gets in the way, so economists must be precise when saying that a model “successfully explains” something. From a forecasting perspective that means errors ...

"Model collapse is a degenerative process affecting generations of learned generative models, in which the data they generate end up polluting the training set of the next generation," Shumailov's ...

Chinese company DeepSeek sent shock waves through Wall Street last month after unveiling a new AI model that was competitive against rival U.S. systems despite using less sophisticated chips and a ...