Some of America's largest home insurers are pricing wildfire risk at dramatically different levels of precision - and the gap ...

Objectives To assess the outcomes of patients undergoing open abdominal surgery at a National Referral Hospital in Tanzania. Design A prospective, observational, single-arm cohort study. Setting Dar ...

Objectives To examine primary care contacts among individuals with eating disorders (EDs) and assess differences across ...

Researchers developed a washable textile-based IDC strain sensor that tracked yoga-inspired movements with 94.4% record-level ...

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — ...

A team of international scientists and risk assessment experts has developed a foundational blueprint for an innovative ...

High-fidelity brand assets are no longer impossible. Learn how Monks uses raw CAD data ingestion to achieve flawless AI product accuracy for brands.

Researcher Devashri Datta introduces AIVEX and SRIL, new approaches designed to bring context-aware risk analysis to software ...

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

Artificial intelligence (AI) is increasingly reshaping diagnostic pathology, with breast pathology representing one of the most advanced and clinically impactful areas of adoption.

The model learns that hedging is a signal of lower-quality output. This creates a systematic bias toward sounding certain.