Ampli aims at generating huge virtual worlds using machine learning and inverse procedural methods.

https://projet.liris.cnrs.fr/ampli/

This project concerns privacy-preserving machine learning approaches forpersonal heath data.

PreSPIN focuses on high-fidelity simulation tools to help physicians plantheir endovascular intervention on intracerebral strokes

Des bactéries d’espèces pathogènes pour les plantes peuvent être isolées dans des environnements variés tels que le sol, l’eau ou des plantes sauvages saines.

The FASTCURE2 project deals with the development of innovative thermosets combined with carbon fibers as prepregs for high pressure (700 bars) hydrogen storage tanks. Such Type IV H₂ tanks are essential components for the development of hydrogen economy, i.e. for being combined with fuel cells and for stationary applications.

Contrôler la microstructure des alliages de Titane forgés

Accumulating data suggest that bacterial genes are co-regulated along spatial genomic domains, even when they do not share any transcriptionfactor, thus escaping classical regulation models. The LoToReG project aims at explainingthese observations through a novel ancestral form of transcriptional regulation based onthe activity of RNA Polymerase (RNAPol) on DNA, through the formation of coupledtopological-transcriptional domains. The objective is to develop a quantitativecomputational modelling of this basal regulation mode.

L’usure par fretting (micro-déplacements alternés) est considérée comme une dégradation critique au niveau de nombreux contacts industriels (roulements, turbine, attaches moteur).