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

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 ...

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

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

Artificial intelligence (AI) and machine learning (ML) are revolutionizing the way we understand and predict soil processes. Yet, while data-driven models ...

Banks and insurers must unify fragmented decisions to manage risk, regulation and customer expectations in real time.

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

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