Researchers have developed several data-mechanism hybrid driven methods to improve key variables prediction in process ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

Researchers have developed a multi-fidelity framework for lithium-ion battery lifespan prediction that combines coupled ...

A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained on ...

In fields including computer science and data science, it is common practice when predicting outcomes such as customer churn or image recognition to focus on variables with the highest predictive ...

Security professionals can recognize the presence of drift (or its potential) in several ways. Accuracy, precision, and ...

Read more about Digital twin systems unlock scalable, data-driven maintenance for global railways on Devdiscourse ...

A proposed computational approach could help develop more fuel-efficient aircraft, according to researchers. The method can provide aerodynamic drag data more efficiently during the early stages of ...