It is a truth universally acknowledged that a man in possession of a good e-ink display, must be in want of a weather station ...
Microsoft is advancing Aurora, an artificial intelligence model designed to help scientists better understand and predict ...
By combining machine learning, robotics and analytics, farmers are gaining financial benefits by improving crop yields and ...
The National Weather Service will be able to utilize operational weather drone data for the first time thanks to a new ...
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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 ...
For its 29th edition, Operation Sierra Storm (OSS) is holding their leading National Meteorologist Conference from January 11 ...
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 ...
AI matches daily forecasts like never before, but when it comes to heat, cold, and wind records, HRES physics rules.
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 ...