Forbes contributors publish independent expert analyses and insights. I am a risk communicator focused on the impact of weather on business. Jul 15, 2025, 08:30am EDT The combination of AI, advanced ...

In the case of weather forecasts, scientists train neural networks by feeding them decades' worth of weather data. Then a user can input data about the current weather conditions and ask the model to ...

When supply chain practitioners think about forecasting, they focus on demand forecasting. Demand forecasting is essential, but the number of different forecasts that an effective organization should ...

SpatIotemporal Gaussian Mixture correlAtion transformer (SIGMAformer) is a spatiotemporal forecasting architecture that integrates a Gaussian mixture pattern extractor (GMPE) with a dynamic ...

This week in the Boston Globe Weather Mailbag, we take a closer look at AI weather forecasting and how the technology is faring compared to traditional weather models. We also explore the changing ...

The ICON model can be used for weather forecasting as well as climate predictions and long-term projections. So far, however, the different applications have been developed separately. An initiative ...

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 ...

You're about to walk your dog, but the sky looks ominous. You pull out your phone, open your favorite weather app, and see that it's about to pour. You wait for the rain to pass. Or maybe you planned ...

Gray swan events are extreme weather events that cause local devestation, like Hurricane Lee in 2023, shown here. Increasingly powerful AI models can make short-term weather forecasts with surprising ...

Scientists found that neural networks cannot yet forecast 'gray swan' weather events, which might not appear in existing training data but could still happen -- like 200-year floods or massive ...