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Artificial Intelligence and Dynamic Modeling tools for Future Flexible Networks – AIDY-F2N
Davidson Paris and Telecom SudParis wish to strengthen their links by setting up the ANR AIDY-F2N LabCom, a joint research laboratory dedicated to Dynamic Modeling for Next Generation networks and services. This initiative reflects the aspiration of both parties to develop and strengthen their know-
Zooming in on the conformational details of a membrane efflux pump – BmrA-NMX
In this project, we would like to contribute to a deeper understanding of conformational events which allow drug export from cells via ABC transporters. The questions we aim to answer are: • What are the key residues acting as conformational switches in the different conformational states involved
Pseudopaline trafficking in Pseudomonas aeruginosa – PseudoTraffic
Metallophores are molecules with a high affinity for metals, synthesized, secreted and recovered by bacteria in order to ensure constant availability of metals, especially in most hostile environments such as the one encountered during bacterial infection of a host. In this context, we have recently
A road toward safe artificial intelligence in mobility – Raimo
The rapid development of artificial intelligence is transforming the transportation sector, with autonomous vehicles representing a major disruptive innovation whose large-scale deployment remains uncertain. Despite ongoing real-world experimentation, broader acceptance and deployment are constraine
PLATFORM OF NUMERICAL COMPUTATION, ARTIFICIAL INTELLIGENCE AND WORLD DATABASE OF HIGH-FREQUENCY ENVIRONMENTAL, FINANCIAL AND SOCIETAL DATA
Over the last ten years, two important initiatives to provide researchers with reliable access to financial data were launched in France by Eurofidai (UAR CNRS 3390) and the Institut Louis Bachelier (ILB). The Eurofidai database contains daily European financial data for common stocks, m
In-Situ Topological Reduction of Scientific 3D Data – TORI
Modern scientific methods heavily rely on large-scale 3D simulations. However, current data production speeds are much higher than storage speeds (5 orders of magnitude on typical supercomputers). This imbalance constitutes a major bottleneck in the scientific computing pipeline, such that most of t
Generalizing Wasserstein Barycenters to discretize gradient flows – BARYFLOW
Wasserstein barycenters are a powerful tool for analyzing complex data represented by probability measures. They enable the interpolation of different types of objects, such as images, texts, or distributions of physical quantities, while taking into account their global geometric structure. However
Domain Adaptation on Time Series – DATeS
Machine learning models generally assume that training and test data are identically distributed. However, this assumption often breaks down in real-world applications due to shifting data distributions over time and across contexts. Domain Adaptation **(DA)** tackles this challenge by allowing mode
Stein's Method and Analysis – MESA
This project aims at developing new techniques and applications, by leveraging ideas from mathematical analysis (PDE techniques, variational methods, optimal transport, functional analysis). Fields of application we shall explore include statistics, random matrix theory and free probability, stochas
TRain ENergy Efficiency via Rankine-cycle exhaust Gas heat recoverY – TRENERGY
Up to now, Rankine systems have been mainly used for stationary equipment (power plants, heat recovery from boilers and furnaces, ...), although applications to transport have been studied (for trains, trucks, and more recently, cars) or even implemented, in the case for large ships. For lighter tr
