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

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

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

THE Malaysian Meteorological Department (MetMalaysia) is aiming to shorten the dissemination time for earthquake information and tsunami warnings from eight minutes to six minutes after detection, ...

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

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

We are pleased to announce the appointment of Dr Florence Rabier as a Non-Executive member of the Met Office Board with effect from January 2026.

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

Artificial intelligence is becoming a useful tool across a wide array of sectors. Therefore, it is little surprise that AI ...

We present a knowledge‐guided machine learning framework for operational hydrologic forecasting at the catchment scale. Our approach, a Factorized Hierarchical Neural Network (FHNN), has two main ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

Worldwide Flight Services (WFS), a SATS company, has developed a digital tool that uses machine learning to forecast cargo volumes and improve workforce planning. The system has been trained on 10 ...