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Study of signal transduction mechanisms through investigation of receptor conformational changes – ARCHITECT
It is crucial to understand the structural bases of membrane receptor function and to link the receptor conformational changes to specific cell responses. In particular, to develop therapeutics with an increased beneficial effect and less side effects, it is necessary to determine how ligands (hormones and neurotransmitters) activate / inactivate their receptor targets and what are the associated cellular signals.
Study of bend-taking behaviour of motorbike riders application to training and intelligent transport systems – VIROLO++
The loss of control in bends (including roundabouts and road junctions) is common largely because of the complexity of PTW dynamics and the intrinsic instability of such vehicles. The MAIDS 2004 study showed that about 30% of all PTW accidents occur in bends or at road junctions. One can estimate, therefore, that loss of control in bends accounts for more than 50% of single-vehicle accidents. In 2012, in France, more than a third of all PTW fatalities occurred in bends (248 killed).
natural language communication would enhance intelligent automation.
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.
espaces dilatés périvasculaires par des méthodes d’intelligence artificielle, détecté plus de 50 nouveaux gènes
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.
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
shadowing and overlay). At the same time, artificial intelligence techniques and in particular deep learning have
statistical characterization with Artificial Intelligence in order to develop new multi-scale learning-based