Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

AI-powered Mental Health Solutions Market to reach USD 11.9 Bn by 2035 at 20.1% CAGR, driven by AI advances and digital ...

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience ...

Cognitive computing represents an innovative frontier within computer science, merging artificial intelligence, machine ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a ...

Bernice Asantewaa Kyere on modeling that immediately caught my attention. The paper titled “A Critical Examination of Transformational Leadership in Implementing Flipped Classrooms for Mathematics ...

By contrasting nematode infection with drought stress, the study highlights both the potential and limitations of remote sensing for separating ...