Project-team PLEIADE Patterns of diversity and networks of function The study of biology associates pattern recognition of diversity with modeling of functional and...
Project-team QUANTIC QUANTum Information Circuits The activities of the QUANTIC team are defined at the theoretical and experimental border of the...
Project-team QURIOSITY Quantum Information Processing and Communication QURIOSITY’s ambition is to extend the application horizon of quantum information science by...
Project-team RAPSODI Reliable numerical approximations of dissipative systems RAPSODI is a common research team with Université de Lille and CNRS. Its activity is devoted on...
Project-team SEMAGRAMME Semantic Analysis of Natural Language The overall objective of the Sémagramme project is to design and develop new unifying logic-based...
Project-team SERENA Simulation for the Environment: Reliable and Efficient Numerical Algorithms The project-team SERENA is concerned with numerical methods for environmental problems. The main...
Project-team SIMBA Statistical Inference and Modeling for Biological Applications SIMBA (Statistical Inference and Modeling for Biological Applications) is a joint Inria, Université...
Project-team SPIRALS Self-adaptation for distributed services and large software systems Spirals is conducting research activities in the domains of distributed systems and software...
Project-team STATIFY Bayesian and extreme value statistical models for structured and high dimensional data The STATIFY team specializes in the statistical modeling of systems involving data with a complex...
Project-team TAU TAckling the Underspecified Building upon the expertise in machine learning (ML) and stochastic optimization of the late TAO...
Project-team TOPAL Tools and Optimization for high Performance Applications and Learning The aim of the Topal team ( Inria, Université de Bordeaux, Bordeaux INP, LaBRI) is to propose...
Project-team VALDA Value from Data Valda’s focus is on both foundational and systems aspects of complex data management, especially...