AI weather models have correctly predicted a 20-day monsoon stall in India affecting 38 million farmers, demonstrating ...

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.

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 ...

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 ...

Moreover, research shows that increasing accuracy of weather forecasts can result in thousands of lives saved per year. One ...

Artificial intelligence is quietly transforming how scientists monitor and manage invisible biological pollutants in rivers, ...

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

Production-ready machine learning system that predicts bike rental demand using real-world public APIs and historical data. Built with Docker-first architecture for seamless deployment, the system ...

Worldwide Flight Services (WFS), a SATS company, has developed a new digital tool using machine learning algorithms trained on 10 years of operational data to deliver highly accurate forecasts of ...

Worldwide Flight Services (WFS) has improved its machine learning tool to better forecast air cargo volumes and support better strategy development for services. The Performance Management Platform - ...