A team of researchers from The University of Texas at Austin (UT), Lawrence Livermore National Laboratory (LLNL), and Scripps ...
Growing port congestion demands smarter management. In a new study, researchers developed a dynamic forecasting framework using real-time operation indicators from a two-stage queuing model to predict ...
In the 21st century, as global trade expands and cargo volumes surge, ports face mounting pressure to operate efficiently. A key challenge lies in ...
Google’s new WeatherNext 2 model uses AI to generate 15-day weather forecasts in under a minute, promising faster, more ...
The varied topography of the Western United States—a patchwork of valleys and mountains, basins and plateaus—results in minutely localized weather. Accordingly, snowfall forecasts for the mountain ...
Researchers at Lawrence Livermore National Laboratory (LLNL), the University of Texas at Austin’s (UT) Oden ...
The paper identifies three major areas in which AI is now vital. These include financial market prediction, macroeconomic ...
Some experts say climate change is affecting the intensity of typhoons. Now, how we forecast for them is changing too, thanks ...
Raleigh is using AI-enhanced flood forecasting and real-time sensors across city creeks to spot rising water sooner and give ...
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