Combining drone data and machine learning can help cover more ground in monitoring forest soil health, University of Alberta ...

AI tools for predicting heart disease show potential but require further validation before clinical implementation, according to a systematic review.

Artificial intelligence in energy management refers to computational algorithms — especially machine learning and data analytics — that learn from data to optimise energy production, distribution, and ...

Routine water quality monitoring already generates large volumes of physicochemical data – turbidity, temperature, dissolved oxygen – but converting that into an early warning for microbial ...

Cancer risk physical activity research reaches a new milestone: a UCL-led wearable study of 59,218 UK adults found just 3 ...

An XGBoost and SHAP framework maps wildfire susceptibility across Antalya and shows how human-related factors become more ...

In his 1927 paper, "A law of comparative judgment," the American psychologist L. L. Thurstone proposed that when people ...

An agentic system successfully developed concepts from two computer-science papers — but the original authors were not impressed.

AI skills are no longer limited to data science teams. Product managers, analysts, developers, operations leaders and functional managers are increasingly expected to understand machine learning, ...

Artificial intelligence (AI)-based prediction models, including risk scoring systems and decision support systems, are being ...

Microsoft Threat Intelligence examines DeadLock ransomware, an emerging financially motivated operation distinguished by its ...