New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of ...

New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

It was only a generation or two ago that weather forecasts were not to be taken too seriously: funny-guy meteorologists on the local news wisecracking about ruined golf plans. That has long stopped ...

Major Upgrade to Multi-Dimensional Data Architecture Significantly Improves Processing Efficiency As part of this upgrade, MacroMT has systematically restructured its existing data model architecture.

BOULDER, Colo. – OpenSnow, a trusted source for the most accurate U.S. weather forecasts, snow reports, and AI-powered weather maps, is launching first-of-their-kind new tools this winter that ...

Forecasting tropical weather is challenging, but new tools have emerged over the past couple of years that are proving beneficial. Thank machine learning. The European Center for Medium-Range Weather ...

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...

In the life sciences and pharmaceutical sector, cost forecasting has long been treated as a backward-looking exercise, anchored in historical averages and stati ...