Multi-ignition wildfires are a dangerous challenge for firefighters. But a new model from the Lawrence Livermore National ...

Overview The competitive market demands quick and accurate pricing decisions for sustainable growth.Forecasting should be ...

Leading IVF clinic networks are adopting predictive analytics and digital infrastructure to optimise operations, increase ...

As CMS-HCC V28 fully takes effect in 2026, healthcare organizations face a structural reset in risk scoring. Planning ...

E-commerce fulfilment has developed a lot and at pace over the past decade, however, 2026 will mark a clear turning point.

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

Company introduces what it calls a fully open, GPU-accelerated stack for AI-driven weather and climate forecasting.

In a critical advance for climate resilience, researchers from The Hong Kong University of Science and Technology (HKUST) have developed an AI model that can predict dangerous convective ...

Nvidia’s next-gen Earth-2 models cut forecast times by hundreds while improving weather predictions across multiple ...

We went behind the scenes Columbia National Weather Service office to see what goes into tracking winter storm, 24 hours ...

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 models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic indicators and real-time marketplace trends.