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Embed2Scale

Earth Observation & Weather Data Federation with AI Embeddings

CoordinatorKesselheim, Stefan
Grant period2024-01-01 - 2026-12-31
Funding bodyEuropean Union
 CORDIS
Call numberHORIZON-EUSPA-2022-SPACE
Grant number101131841
Further information: Homepage
IdentifierG:(EU-Grant)101131841

Note: The Copernicus programme, weather models, and Global Navigation Satellite Systems (GNSS) provide extensive geospatial data applicable to various scientific sectors. However, the volume of this data makes it impractical for a single platform to host. As a result, service providers face challenges in accessing data from different archives due to cost constraints. The EU-funded Embed2Scale project will address this issue by leveraging AI-based data compression techniques to facilitate efficient data exchange. The project will investigate deep neural network training methods and introduce innovations in data management and portability. The outcome will be groundbreaking research in AI-driven data compression, leading to more accessible and efficient access to earth observation and weather data.
   

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 Record created 2025-10-28, last modified 2025-10-28
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