Search for a funded project
DEEP Learning For Large Deep Imaging Programs – DEEPDIP
In future large surveys like LSST or Euclid, high precision photometric redshift measurements and light curve classification will play a central role. We propose to revisit the current methods used to analyze these data by developing deep learning techniques that will directly use the multi-band images at the pixel level to measure a redshift or to perform a classification.
DEEP REST : Conservation & restoration of deep-sea ecosystems in the context of deep-sea mining – DEEP REST
“Decade of Ocean Science for Sustainable development (2021-2030)” and the “Decade on Ecosystem Restoration”
DESIR (DUNE)
dans le cadre de DUNE-DESIR ont été capitalisées en 2021. Elles ont donné lieu à plusieurs symposiums et
DEVELOPMENT OF CARBON MONOXIDE-RELEASING MOLECULES CONJUGATED TO POLYSACCHARIDE CARRIERS TARGETING ADIPOSE TISSUE FOR THE TREATMENT OF OBESITY – SWEET-CO
The SWEET-CO project aims to produce new compounds that could preferentially release carbon monoxide (CO) to the adipose tissue and to be used in obesity. We have named these compounds 'Glyco-CORMs'. This idea came from data from our laboratory showing that CO-releasing molecule CORM-401 given orally to mice protects against weight gain, metabolic dysfunction and inflammation caused by a high fat diet, with effects on the adipose tissue.
DIAMond instrumentation for pulsed beam MONItoring – DIAMMONI
DIAMond instrumentation for pulsed beam MONItoring
DISTINGUO: a Knowledge Base on "Distinctiones", the Backbones of Medieval Preaching – DISTINGUO
DISTINGUO: a Knowledge Base on Distinctiones,<br />the Backbones of Medieval Preaching
DIpoles on Networks as miNimal modEls of bRain MicrOvascular dySfuncTion – INNERMOST
flow on random networks (Goirand et al. Nat Comm. 2021). This model captures the emergence of anomalous
DYNAMIC ANALYSIS OF THE PATTERNING ACTIVITY OF HEDGEHOG IN DROSOPHILA – HHMOVE
Complex intercellular communication is essential for developmental patterning in all metazoans. This communication depends on both the types of diffusible protein factors, and the distance over which these factors must act. We proposed a fundamental research project aiming at a better understanding of tissue morphogenesis controlled by one of these factors, the Hedgehog (Hh) protein family during animal development.
Data Science, Artificial Intelligence and Society
recherche et des Grandes Écoles. Depuis janvier 2021, l’Institut est devenu porteur de la stratégie de
Data and Prior, Machine Learning and Control – DeLiCio
We propose to combine machine learning and control theory for sequential decision-making of multiple agents. The project proposes fundamental contributions: adding stability to the algorithms of reinforcement learning; data driven methods for robust control; hybrid ML / CT methods for multi-horizon control and planning; decentralized control. The methodological contributions of this fundamental IA project will be applied to the robust control of UAV fleets
