AI.iO (Artificial Intelligence in Orléans) : Learning from heterogeneous data and expert knowledge. Applications in geological and environmental sciences
This project aims at strengthening the research activities in fundamental AI in Orléans with a focus on applications in the field of Environment and Cultural Heritage. In these domains we have often to deal with a great amount of data coming from different sources, leading to different types of data that could come at regular time or at any moment and could also come from different places. All these lead to the generation of heterogeneous data (text, image, signal, captors) described at different granularity degrees. Expert knowledge is important for the performance of the AI model generated and has be integrated in the learning process.
This project allows the co-funding of 6 PhD grants (ANR, University of Orléans and BRGM). We have defined two fundamental axes from which the subjects of the PhD theses will be defined. Although the two axes regard fundamental research, they will be guided by environmental or cultural heritage applications, with some of them provided by BRGM.
Axis 1: Prior knowledge integration
Axis 2: Explainability in the framework of heterogeneous data
Marcílio PEREIRA DE SOUTO
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