Explainable AI pipelines for big Copernicus data
The EU-funded DeepCube project leverages advances in the fields of artificial intelligence (AI) and semantic web to unlock the potential of big data from Copernicus. DeepCube aims to address problems of high socio-environmental impact and enhance our understanding of Earth’s processes correlated with climate change. The project employs ICT technologies such as the Earth System Data Cube, the Semantic Cube, the Hopsworks platform, and a state-of-the-art visualisation tool, integrating them into an open interoperable platform that can be deployed in cloud infrastructures and high-performance computing. DeepCube will develop deep learning (DL) architectures that extend to non-conventional data, apply hybrid modelling for data-driven AI models that respect physical laws, and open up the DL black box with explainable AI and causality.
Call for proposal
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Funding SchemeRIA - Research and Innovation action
129 35 Hagersten
31520 Ramonville Saint Agne