A new active-inference account reframes attachment styles as calibrated models of the world—with consequences for how we ...

Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...

Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...

BackgroundBird populations are facing unprecedented global pressures from climate change, habitat fragmentation, land use ...

A forecasting framework that measures how voters evaluate candidates’ future leadership abilities and policy expertise accurately anticipated the closely contested outcome of the 2024 United States ...

Most legal technology shifts do not announce themselves with trumpets. They slip into ordinary practice first. Email was once ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...