TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

This issue of The Journal of Risk Model Validation features two papers that directly address validation using machine learning. Whether their findings imply we will all (including the editor) become ...

A U.S. Postal Service employee died after he became stuck inside a mail handling machine at a distribution center in Allen Park, Michigan, according to officials. Nicholas John Acker, 36, was stuck in ...

In developing countries, the impact of significant events such as earthquakes, extreme weather, terrorist attacks, cyber incidents, or health emergencies can be more pronounced given the lack of ...

Abstract: In tabular data analysis, high model accuracy is often regarded as a prerequisite for discussing feature importance. This assumption stems from the expectation that the validity of feature ...

Abstract: Differential private learning is widely used in machine learning (ML) to protect continuous and scalar-valued data. The demand for discrete and matrix-valued computations is increasing, ...

With the development of artificial intelligence(AI) in computer science and statistics, it has been further applied to the medical field. These applications include the management of infectious ...

ABSTRACT: In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving ...