Univariate analysis showed that factors such as grade level, family economic status, reasons for choosing nursing major, exposure to AI related courses/training, and daily AI usage time had ...

Tourism had shut down; no-one was visiting Britain and so no-one was filling out surveys. At things started to move again, ...

Objective Macrophage activation syndrome (MAS), a subtype of secondary haemophagocytic lymphohistiocytosis (HLH), is a rare ...

AIOps isn’t just a buzzword — it helps teams predict issues before they happen and fix them automatically with smart, ...

Technology group Wärtsilä has launched GEMS Pulse, a predictive analytics solution designed to increase the financial and ...

Scientists in China have developed a novel missingness-aware power forecasting method that leverages signal decomposition, multi-scale covariate interaction, and multi-domain collaborative transfer ...

Hedge funds are hungry for new sources of alpha, but most efforts to apply artificial intelligence to stock picking have run into familiar pitfalls: data overload, unreliable models, and generative AI ...

A new study led by the Wildlife Conservation Society (WCS) finds that artificial intelligence (AI) models are providing more ...

This important work employed a recent, functional muscle network analysis for evaluating rehabilitation outcomes in post-stroke patients. While the research direction is relevant and suggests the need ...