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Integrating Earth Obsertation data in spatial data infrastructures – TELKANTE LAB
The TELKANTE LAB project between UMR LETG (CNRS) and ALKANTE aims to develop technical and software solutions for integrating remote sensing data into spatial data infrastructures (SDIs). Indeed, the complementary nature of the LETG and ALKANTE teams opens promising expectations towards scientific a
Thermally conducting paper substrates – 2D-Paper
A major trend in electronics is to become mechanically flexible and reach new areas in packaging, health care, intelligent industries, smart cities. Under the umbrella of internet of everything, new zero-energy devices are created on flexible substrates including an energy harvester, energy storage,
Boosting the Frequency and Scale of Marine Biodiversity Monitoring Using Digital Imagery and Artificial Intelligence – BioBoost+
The development of observing capacity to provide informative and robust biodiversity assessments is crucial to evaluate progress against international agreements and to underpin evidence-based conservation and informed management strategies. Better understanding of biodiversity patterns and their dy
Intelligent Context-awareness for Increased Safety and Quality in Robot Assisted Surgery – i-SaferS
Robot-assisted surgery, allowing surgeons to perform complex surgeries through tiny incisions, has been significantly increasing in popularity worldwide. However, surgical safety is still a major concern in the high-risk operating environment and remains a threat to the quality of surgical outcome.
Mechanical properties of intracranial aneurysm wall in vivo – PRAnevrisme
PRAnévrisme (Prediction of Aneurysm Rupture) is involved in the development of a larger project aimed at providing clinicians with a quantitative tool to aid in the management of unruptured intracranial aneurysms. This tool will be based on knowledge of the vascular wall's degradation state in relat
Monitoring the Open-Ocean BiodiversitY with Fishers – MOOBYF
Tropical pelagic biodiversity plays an essential role for the food security and incomes of many coastal developing countries, thus calling for its sustainable use. It is currently subject to major stressors from human activities and climate change. Due to its sparseness, remoteness and vastness, the
PHysics-based Learning for robUst fluid SIMulation – PHLUSIM
PHLUSIM is an interdisciplinary project that proposes to unlock the potential of recent advances in artificial intelligence for computational fluid dynamics (CFD) and reduced order modeling (ROM) for fluids. Specifically, it seeks to apply innovative techniques emerging in AI to the specificity of t
Design of Optimal Online Matching Markets – DOOM
Future markets are going to be online, wide (even international) and the pairing between offer and demand is going to be facilitated, organized, and regularized by some platforms, obviously learning from gathered data, past errors, and successes, in some automatic fashion. Artificial intelligence wi
Smart photonic designs for next generation Kerr frequency combs – SMARTKOMBS
Lasers have revolutionized our civilization, allowing us to communicate faster, to probe and cool atoms, or to measure time and distance with unprecedented precision. These advances have been made possible by optical frequency combs, which establish a direct and coherent link between the optical dom
Durability improvement for PEM water Electrolysers by AI-accelerated multiscale degradation modelling – DuraPEME
In France, water electrolysis using renewable energy is nowadays considered a promising solution for producing hydrogen without dependencies on fossil fuels. Among different types, polymer electrolyte membrane water electrolysers (PEMWE) are considered the most favourable technology for hydrogen gen
