Science X is a network of high quality websites with most complete and comprehensive daily coverage of the full sweep of ...

The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...

Paramount Business Jets reports that advances in aviation tech enhance safety by improving turbulence prediction, situational ...

Dengue is becoming a bigger challenge in many parts of the world, including Latin America, as the factors that influence mosquito-borne disease continue to shift. McCord noted that in the Amazon and ...

Weather forecasts have improved dramatically, but predicting rain has always been the hardest part. This video explains how AI upscaling takes low resolution weather models and turns them into ...

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 ...

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.

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

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

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 ...

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 ...