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CloudPower : a Cloud service providing High Performance Computing to SMEs – CloudPower
High performance computing (HPC) allows scientists and industries to run large numerical application on huge data volumes. The HPC is a key factor in knowledge and innovation in many fields of industry and service, with high economic and social issues: aerospace, finance and business intelligence, e
Innovative research for solar applications – SOLARIS
R&D program SOLARIS propose a new solar thermal collectors since 2016 (Vitosol 200 FM Thermprotect) in order to strongly reduce the technical problems associated to high stagnation temperature. This new product is based on an intelligent absorber layer protects the collectors from overheating. Vie
COnsumer-centric Privacy in smart Energy gridS – COPES
Smart meters have the capability to measure and record consumption data at a high time resolution and communicate such data to the energy provider. This provides the opportunity to better monitor and control the power grid and to enable demand response at the residential level. This not only improve
Multimodal Multilingual Continuous Representation for Human Language Understanding – M2CR
Communication is one of the necessary condition to develop intelligence in living beings. Humans use several modalities to exchange information: speech, written text, both in many languages, gestures, images, and many more. There is evidence that human learning is more effective when several modalit
Investigating the canonical organization of neocortical circuits for sensory integration – CANON
The organizational complexity of the cerebral cortex seriously limits our understanding of its operation. Most studies focus on a single aspect of cortical organization, either at the microscopic or macroscopic level, yet an adequate understanding of the integration mechanisms of the brain at circui
Development of a brain-computer interface for speech rehabilitation – BrainSpeak
In France, 300 000 people suffer from a strong speech disorder and more than 5 millions worldwide, often following brain strokes but also in case of severe tetraplegia, locked-in syndrome, neurodegenerative disease such as Amyotrophic Lateral Sclerosis or Parkinson’s disease, myopathies, or coma. Th
Adaptive importance sampling methods for Bayesian inference in complex systems – PISCES
Many problems in different scientific domains can be described through statistical models that relate observed data to a set of hidden parameters of interest. This kind of statistical models can be found in a broad range of applications such as biology, medicine, econometrics, computer science, arti
Educational Technologies for Teaching in Context – TEEC
The project, entitled “Educational Technologies for Teaching in Context”, proposes to instrument and test an educational innovation based on the clash of contexts. The hypotheses elaborated concern the adaptability of this innovation, which initially stems from science didactics, at various discipli
Personalising myasthenia gravis medicine: from “one-fits-all” to patient-specific immunosuppression – MG-PerMed
Myasthenia Gravis (MG) is a prototypic autoimmune disease causing muscle weakness and fatigability, mostly treated by chronic immunosuppressive (IS) therapy. MG clinical heterogeneity, fluctuating symptoms with unpredictable disease course, and inter-individual variation in response to treatments, i
A citizen science network for monitoring nocturnal migration in birds – VOLDENUIT
France lies at the crossroads of several major migration routes for Eurasian birds. Of the 320 species that regularly fly over the French territory, almost two-thirds move partially or even exclusively at night. This phenomenon of nocturnal migration remains relatively understudied to date, while at
