The MAESTRIA (Machine learning and Artificial Intelligence for Early Detection of Stroke and Atrial Fibrillation), coordinated by Sorbonne University (PI: Stéphane Hatem) and involving 17 other European partners, has been selected within H2020 program.
"Algorithmic discriminations"? Artificial intelligence between moderation and censorship on digital social networks
This project aims to study the role played by AI in the moderation of publications that take place in digital social networks (DSN).
AI for biodiversity monitoring: Data-driven ecoacoustics to explain spatio-temporal dynamics of an ecosystem
Develop ecoacoustic methods to track the dynamics of animal populations and communities recolonizing a natural environment in restoration.
Deep learning for cosmology with the Lyman-Alpha forest
Develop new algorithm based on deep learning able to predict the Lyman-Alpha forest from cheap N-body simulations.
Deep Neural Networks and Differential Equations
Develop links between Deep Neural Networks (DNN) and Differential Equations (DE) in order to answer central questions.
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