Google DeepMind Unveils WeatherNext 3, Its Most Advanced AI Weather Forecasting Model to Date
- Published
- Source
- AIInsider
Google DeepMind and Google Research have launched WeatherNext 3, an AI weather forecasting model designed to enhance weather information across various Google platforms, including Search and Google Maps. This model is notable for its ability to directly integrate core forecasting variables into major Google products, marking a significant advancement in AI-driven weather predictions.
The introduction of WeatherNext 3 is significant as it outperforms competitors like Microsoft and Nvidia on the Operational WeatherBench benchmark, achieving a 60% improvement in rain prediction over its predecessor. This model can generate hourly forecasts and utilizes real-time satellite data, making it a powerful tool for accurate weather forecasting.
Looking ahead, WeatherNext 3's unique capability to target forecasts to specific weather stations could revolutionize applications such as airport weather predictions. No further timeline was disclosed at the time of publication.
Original report
Google DeepMind Releases WeatherNext 3, Its Most Accurate AI Weather Forecasting Model Yet
AIInsider · James DarganThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
Rights concerns? Contact [email protected] with the relevant URL and details. We will review the matter and take appropriate action where warranted.
More related news
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
- 12
Related Suppliers
Google DeepMind
Alphabet's London-based AI lab, developer of the Gemini Robotics vision-language-action models and the open-source MuJoCo physics simulator.
Rainmaker Technology Corporation
El Segundo, CA startup using autonomous weather-hardened drones and AI radar to perform cloud seeding and manufacture freshwater at scale.
WindBorne Systems
Redwood City, California weather-tech firm founded 2019; operates the Atlas autonomous balloon network and the WeatherMesh AI forecasting model.
Parallel Domain
Parallel Domain is a USA AI & Machine Learning Platform company that generates synthetic sensor data to train autonomous vehicle and robotics perception AI.
Meteomatics
Swiss weather-intelligence firm Meteomatics runs Meteodrones and a 1,800-parameter Weather API used by 700+ clients including NASA, Tesla and Airbus.
ICEYE
Finnish operator of the world's largest synthetic-aperture radar (SAR) satellite constellation for all-weather, day-and-night Earth observation.
Shift5
Operational intelligence platform securing onboard OT across US military aircraft, vehicles, and vessels against cyber threats and failures.
GrayMatter
Industrial intelligence company turning OT data into operational analytics, automation and cybersecurity for manufacturers and utilities.
Arable Labs
US agtech company providing solar-powered in-field IoT sensors and AI-driven crop intelligence software for water stewardship and precision agriculture.
Learning Robots
Learning Robots is a Paris-Saclay CNRS spin-off making AlphAI, an educational robot and software for teaching artificial intelligence.
Positronic Robotics
Robotics startup building an open-source Python stack and AI control systems to turn commercial robots into autonomous cleaners.
Arondite
London defence software firm whose Cobalt platform commands drones, uncrewed vessels and sensors for the British Army's 16 Air Assault Brigade and Royal Navy.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.