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Ultra Low Power Consumption Low Noise Cryogenics and Ambient MMIC for Space Telecommunications in Q-band – Low.IQ
and autonomous applications for the ambient intelligence. Within the framework of this project, low
press, radio and television broadcasts more intelligible, viewable and searchable at a macro-level of
This study concerns the field of Artificial Intelligence, specifically the SAT (satisfiability problem
Technical, economic and environmental feasibility of solide oxyde fuel cells (SOFC) for electricity generation from biogas – PILE-EAU-BIOGAZ
design and integration of systems including intelligent management of energy and finally evaluate the
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.
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.
In order to simulate the energy performance of low energy buildings more precisely, human behaviour can be modeled through multi-agent systems and coupled to dynamical building simulation. Exploiting electrical load profiles or other measured data allows for identification of simplified models of buildings or appliances, and, in return, for better sizing and control of the building systems and appliances.
The SATURN project takes place in this context of <br />autonomous embedded systems and proposes to revise the actual fundamentals of embedded computing architectures. We propose in this project an original approach compared to the classical centralised approaches based on new computation paradigms. The SATURN project associates researchers from digital embedded systems and artificial intelligence in order to define this architecture <br />of a new type for smart embedded plateforms.
algorithms and in the design of experimental intelligent vehicles. They have also participated in projects