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Understanding and predicting the properties of cosmetic compact powders – PredCOMPACT
models, using artificial intelligence (AI) tools to design an intelligent and data-driven compaction
Understanding and improving trust in scientific truths: an experimental approach – TrustSciTruths
We are conducting controlled experiments to identify the determinants of trust in scientific experts and processes. A 1st line of research focuses on the effectiveness and perception of algorithms used to recruit workers. A 2nd axis studies the impact of an adviser's gender and expert status on recommendation follow-up. A 3rd axis looks at whether the fact that the conclusion of a reasoning is pleasant affects the ability to reason.
Understanding and assessing volcanic hazards, scenarios, and risks in the Lesser Antilles – implications for decision-making, crisis management, and pragmatic development – CASAVA
management, and applied mathematics and artificial intelligence to simulate realistic eruption scenarios, impact
Uncovering and mitigating the detrimental effects of social learning on the discovery of new solutions – OPTILEARN
learning (i.e., cumulative culture and collective intelligence) without paying the costs associated to it (i
Ultrafast control of quantum materials: the non-thermal dynamical strain pathway – FASTRAIN
such as hardware neural networks for artificial intelligence based on Mott insulators.
Ultra-Compact Non-linear Metamaterial Wave Processors for Analog Deep Learning – MetaLearn
low-power Internet-of-Things sensors with artificial intelligence (AI). We will introduce locally resonant me
Ultra Low Power Smart 3D Cochlea – ULP-COCHLEA
ULP COCHLEA project will permit, by mimicry, the design of smarter, smaller, cheaper and passive bioinspired acoustic sensors for long-duration in-situ monitoring and analysis of marine environment and related maritime activities especially in Mediterranean Sea. The project will enable the development of cognitive and predictive models for understanding submarine life for long spatial and temporal scales.
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
UNderwater robotics with multi-moDal communIcation and Network-Aided positioning system – UNDINA
opto-acoustic-inductive channel models, Evologics Intelligent Networking Software (EvINS) Framework, and robot
Trustworthy and Robust Artificial INtelligence – TRAIN
Artificial Intelligence (AI) technologies can efficiently process large amounts of data, to help stakeholders
