Federal scientists announced a new artificial intelligence tool that can forecast drought conditions 90 days ahead across the ...

The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, ...

Artificial intelligence is often promoted as a force multiplier for organizations, but used carelessly it can erode the very ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

1. Mastercard expanded its acceptance network across Africa by 45% in 2025. What does this tell ushow digital payments are being used on the ground? Mastercard’s 45% network expansion confirms ...

Scientists show that boosting noradrenaline while people learn does not strengthen memory itself but changes how the brain connects related experiences, revealing how arousal can expand the ...

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...

A common ineffective way teachers check for understanding in the classroom is by asking a variation of the question, “Does everybody get this?” If not that, then what? Today’s post will offer a number ...

A mother's health during pregnancy, childbirth and the postpartum period is the foundation of lifelong well-being, directly influencing a child's development and long-term outcomes, yet most ...

Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests.