Search for a funded project
Analyzing Large Scale Geometric Data Collections – AIGRETTE
In the research project associated with this chair, we propose to develop efficient algorithms and mathematical tools for analyzing large geometric data collections, including 3D shapes represented as triangle or quad meshes, volumetric data, point clouds possibly embedded in high-dimensions and graphs representing geometric (e.g. proximity) data.<br />Our project is motivated by the fact that large annotated collections of geometric models have recently become available, and that machine learning algorithms applied to such collections have shown promising initial results, both for data analysis and synthesis. We believe that these results can be significantly extended by building on recent advances in geometry processing, optimization and learning.
Antibodies for medicine
privée a pu être trouvée pour continuer l’activité en 2021.
Antimicrobials in agriculture: actors, practices, conflicts – AMAGRI
The regulation regime of antibiotic use in livestock farming put at the test of the antimicrobial resistance problem
Approach of Solar Integration in the Built
Cette formation internationale a démarré à l’automne 2021 avec ses deux parcours : Energy for Solar Buildings
Approximate Bayesian solutions for the interpretation of large datasets and complex models – ABSint
This project is motivated by branches of applications<br />where large data sets and complex models represent a genuine challenge: population genetics and phylogenetic analyses, neuroscience and astrostatistics.The expected impacts of the project are two-fold: (1) scientific impacts for the developments of sound statistical tools to analyse massive datasets and complex models and (2) search for approximate solutions to analyse more advanced data structure.
Approximating Deep Learning Accelerators – AdequateDL
AdequateDL explores how approximate computing can improve the performance of deep-learning hardware accelerators. Deep learning is very relevant in this context, since playing with the accuracy to reach adequate computations will significantly enhance energy efficiency, while keeping quality of results in a user-constrained range. Outcomes include a framework for accuracy exploration and evaluation of gains in performance per watt of the proposed adequate accelerators over CPU/GPU platforms.
Architecture of complex systems in intelligent immersion – ArchiTOOL
Architecture of complex systems in intelligent immersion
Artificial Intelligence-based Adaptative Security for Sovreign Clouds – RÉSILIENCE
already led to the defense of a doctoral thesis in 2021 and the launch of a new thesis as well as a bilateral
Artificial and Natural Intelligence Toulouse Institute
workshop des doctorants 3IA organisé en novembre 2021 à Toulouse puis l’année suivante à Grenoble)
Ascending smoke vortices in the stratosphere – ASTuS
The stratosphere extends from the last cloud layers until about 50 km. Its behavior is determined by its composition which is perturbed by intense but sporadic events which are the volcanic eruptions and the more and more frequent large wildfires. We consider the consequences of these events and their effects on climate. A special interest is dedicated to ascending vortices that confine the plume and rise it up to 40 km and more.
