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Artificial Intelligence for forest monitoring from space – AI4Forests
Managing and conserving forest ecosystems in Europe and worldwide is an indispensable component of climate adaptation and climate change mitigation strategies. Precise and up-to-date information about the health and the carbon balance of forests are, hence, critical to assess the current state of fo
Optimization of analysis performances using different non-destructive testing techniques – OPTEND
The LabCom OPTEND project (“Optimisation des Performances d'analyses par l'utilisation de différentes Techniques d'Essais Non Destructifs”) aims to develop advanced tools for performing defect analysis on high value-added metal parts, using non-destructive testing (NDT) techniques such as magnetic p
artificial Intelligence to DisEngage from FIXation – IDEFIX
In critical real-world environments, professionals have to make provisional assessments of the situation based on partial and uncertain information. This context is favorable to fixation errors, i.e. not updating the assessment of a situation or persisting in an action plan that is no longer appropr
Understanding and predicting the properties of cosmetic compact powders – PredCOMPACT
In the production of cosmetic powders, the lack of reproducibility control is frequently encountered during production, in most cases related to the variable properties of the raw materials as well as the robustness of the manufacturing process. The development of formulations and processes is often
Adaptive Sound Field Synthesis for Hearing Aid Research – ASFHEAR
Hearing loss affects a growing number of people, and has a huge social and economic impact. It is essential to provide hearing-impaired people with adequate hearing aids so that they can participate fully in society. To achieve this, hearing aid research area requires high-performance diagnostic too
Integrating human cognitive traits in synthetic intelligent agents to understand market dynamics – CogFinAIgent
Understanding how individuals interact in large-scale social and economic structures, e.g. financial markets, is a key challenge for artificial intelligence systems. On the one hand, we need to grasp how markets shape decision making and on the other, it is crucial to grasp how human cognitive trait
Machine Learning and Interpretation of Sub-Surface Architectures – MaLISSiA
Artificial intelligence and digital twins offer tremendous opportunities for modelling and understanding Earth systems. However, these new developments have mainly been applied to geophysical processes occurring within relatively well-constrained geometries (e.g., on earth surface) and they have yet
Dynamics of informal settlements in Pacific island cities – SITI
The SITI project aims at developing knowledge and new agent-based simulation tools to analyze a particular mode of urban production, characteristic of the socio-spatial transformations and urban sprawl, of the capital cities of the Pacific islands (Port-Vila, Suva and Noumea). These areas and habita
Autonomous Lifelong learnIng intelLigent Systems – ALLIES
Standard machine learning systems require massive data and huge processing infrastructures, but the main limitation to their spreading comes from the need of the empirical and rare knowledge of an experienced data scientist able to set and adjust their behavior over time. The ALLIES project will lay
Rhythm modeling with Spike Neural Network – MODPULS
The temporality of information is crucial to our understanding of the world. Synchronization between different events guides our perception and our actions in many tasks. For example, speech understanding is improved by lip-reading in a context of synchronization between visual and sound perception.
