Researchers have developed several data-mechanism hybrid driven methods to improve key variables prediction in process ...

Rainfall data across the Corn Belt reveals highly variable periods that impact planting, silking and hybrid management.

Daily travel plans and early warnings for extreme weather all rely on traditional numerical weather prediction. However, both ...

The geographic atrophy (GA) enlargement rate in one eye does not consistently predict the enlargement rate in the fellow eye, ...

Scientists develop spatiotemporal correlation-based deep learning framework for bias correction of atmospheric and oceanic variables ...

Many people rely on routine doctor visits to check their blood pressure, believing that normal readings mean they are safe.

The last decade has seen unprecedented acceleration of global warming due to anthropogenic climate change. Healthcare ...

Data centers consume millions of homes' worth of electricity each year, with much of that electricity simply powering the ...

When a prospect skips NFL combine workouts, teams can use artificial intelligence to project his measurables.

Is it better to move more or move harder? Two new 2026 studies suggest that while movement volume matters, vigorous intensity ...

PointClickCare, a leading health tech company helping providers deliver exceptional care, today announced the launch of Study Buddy, a first-of-its kind, AI-powered research platform designed to ...

Job data governance provides a unified approach to defining roles. Without it, job data becomes fragmented, especially in ...