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Structure and molecular function of the pseudopilus in type 2 protein secretion pathway – SYNERGY_T2SS
Synergy_T2SS aims to decipher the structure and function or the pseudopilus - the dynamic motor of type II secretion system, and that in three model bacteria.The current models of the secretion mechanism - «piston« and «archimedes' screw« predict different pseudopilus dynamics and interactions with the secreted substrates. We aim to test these prediction using integrative approaches, and to propose a unified and experimentally validated model of type II secretion mechanism.
Strong local consistency filtering for weighted constraint networks and other graphical models – FICOLOFO
This project is an essential part of the process of extending the classical Constraint Programming paradigm to optimization problems by defining a Cost Function Programming framework. <br />We are fitting our Cost Function Network Solver toulbar2 with stronger inference algorithms, global cost functions and making it easier to use through a python/Numberjack interface. Several applications (nurse rostering, protein design, crop allocation problems) are already handled by Cost Function programming.
Stereotype threat and aggressive reaction – STAR
The present research aims to investigate the link between stereotype threat and aggression. Is aggression a possible consequence of stereotype threat? If yes, is aggression likely to be observed among members of groups stereotyped as relatively more aggressive or among all individuals? Furthermore, the present research will try to shed light on underlying mechanisms explaining the effect of stereotype threat on aggression, namely aggressive thoughts, emotions, and self-regulation.
Stattistics, computation and Artificial Intelligence – SCAI
The key factor for the recent boom in AI is the emergence of deep learning (DL). The successes of these methods - in particular, for supervised learning- are amazing. But the limits and some of the do
Statistical learning for multi-dimensional SAR imagery – ASTRAL
shadowing and overlay). At the same time, artificial intelligence techniques and in particular deep learning have
Statistical ChAracterization of multi-scaLE complex Systems with information theory – SCALES
statistical characterization with Artificial Intelligence in order to develop new multi-scale learning-based
Stabilization process in marine surface robotics inspired by swimming snakes – SSSNAEQ
A new generation of robots inspired by the swimming of aquatic snakes has recently emerged in academic contexts. Thanks to their exceptional manoeuvrability, they could intervene urgently in complex situations. However, despite this potential, their surface stability is too precarious. The SSSNAEQ project aims to remove the scientific barriers to surface instability by taking inspiration from snakes,
Spintronic Spiking Neurons – SpinSpike
deep neural networks has enabled artificial intelligence (AI) to disrupt many fields, from scientific
Spintronic Ising Machine – SpinIM
embedded systems (smart sensors, edge artificial intelligence (AI)) are : speed, compactness and integrability
Speech-in-noise Intelligibility Deficits: Designing Psychophysical and Electrophysiological Markers of Spectral Shape-Coding Sensitive to Cochlear Synaptopathy – INSPECTSYN
study how these measurements account for SPiN intelligibility differences across listeners. Overall, this