NOAA Inks Deal with Google to Boost AI, ML for Weather Prediction

guest · Oct 31, 2020

NOAA Inks Deal with Google to Boost AI, ML for Weather Prediction
October 28, 2020
https://www.meritalk.com/articles/noaa-inks-deal-with-google-to-boost-ai-ml-for-weather-prediction/

The National Oceanic and Atmospheric Administration (NOAA) has announced a partnership with Google to enhance environmental monitoring and weather prediction through AI and machine learning (ML) technologies.

The three-year agreement will pilot specific AI- and ML-related projects focusing on NOAA’s environmental monitoring, weather forecasting, climate research, and technical innovation.

“Strengthening NOAA’s data processing through the use of big data, artificial intelligence, machine learning, and other advanced analytical approaches is critical for maintaining and enhancing the performance of our systems in support of public safety and the economy,” said Neil Jacobs, Ph.D., acting NOAA administrator in a press release.
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According to the release, the research will initially focus on small-scale AI and ML systems and move to executing full-scale prototypes – based on the results of the initial efforts – that NOAA could operationalize.
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NOAA: AI agreement to enhance environmental monitoring, weather prediction

NOAA and Google announce new data partnership
NOAA’s Satellite and Information Service (NESDIS) has signed an agreement with Google to explore the benefits of Artificial Intelligence (AI) and Machine Learning (ML) for enhancing NOAA’s use of satellite and environmental data.

Through this agreement, NOAA and Google will work together on a number of projects, offering hands-on AI training opportunities to the NOAA workforce. NOAA's AI strategy aims to infuse new technologies and approaches to increase efficiency and skills through partnerships, training, and AI-related research and development.
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NOAA Partners with Google to Boost Weather Forecasts with AI

The roughly $10 million deal will also incorporate new hands-on training opportunities for both entities’ personnel.
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