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The Artificial Intelligence for Earth System Predictability workshop explored the use of AI to help collect understand and analyze big data One example is using machine learning approaches to integrate data from a wide variety of measurement techniques across spatial scales from stomata to biomes to improve Earth system predictability

Researchers and scientists are working together to apply AI and modeling techniques such as machine learning (ML) to advance Earth and environmental science. Specifically, a group of scientists and experts aims to integrate modern technology in the work of Earth system models, observations and theory — as well as to provide computational capabilities that can deliver speed, accuracy and more-informed, agile decision-making.

The post Revolutionary Environmental AI Infrastructure Detailed in New Report appeared first on HPCwire.

Article From: "Andrew Jolly"   Read full article »


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