Rainbow Weather raises $5.5M to scale its AI-driven weather forecasts, expanding beyond precipitation insights into enterprise forecasting.

Astitha and her research group are at the forefront of exploring ways to improve weather prediction using AI and machine learning to enhance existing physics-based models. They developed new methods ...

As of today, Rainbow Weather has reached over 1 million installs and over 100,000 active users.

A historic winter storm is tearing across the United States, burying cities in snow and glazing highways in ice just as ...

With upgrades to the country's weather forecasting system, tsunami and earthquake warnings could be issued within six minutes ...

In this episode of Nature Unheard, hosts dive into the fast-changing world of weather forecasting – from frustrations with unreliable forecasts to the risks posed by extreme weather events ...

The Malaysian Meteorological Department (MetMalaysia) aims to speed up the dissemination of earthquake and tsunami warnings ...

AI’s appeal lies in its ability to handle high-impact, low-probability events. Extreme weather disasters fall squarely into ...

By combining machine learning, robotics and analytics, farmers are gaining financial benefits by improving crop yields and ...

The problem comes down to how these tools learn. New study reveals unexpected results after using AI tools to predict extreme ...

While demand planning accuracy currently hovers around 60%, DLA officials aim to push that baseline figure to 85% with the help of AI and ML tools. Improved forecasting will ensure the services have ...