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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
Understanding and improving trust in scientific truths: an experimental approach – TrustSciTruths
Recent advances in artificial intelligence and machine learning have transformed many fields, including those involving complex human decisions. Whereas automation mainly affected routine jobs, AI is now having an impact on highly skilled professions, sometimes surpassing humans in tasks such as med
Understanding and assessing volcanic hazards, scenarios, and risks in the Lesser Antilles – implications for decision-making, crisis management, and pragmatic development – CASAVA
The Lesser Antilles volcanic arc of the West Indies is the smallest volcanic region in the world with 21 live volcanoes. However it consists of 12 different countries with different socio-economic characteristics and elevated population densities, most of which concentrate near the coast as well as
Uncovering and mitigating the detrimental effects of social learning on the discovery of new solutions – OPTILEARN
The greatest accomplishments of our species result from a process known as cumulative culture. Computers, spaceships and scientific theories haven’t been invented by single, isolated individuals. Instead, they result from a collective process in which innovations are gradually added to existing cult
Ultrafast control of quantum materials: the non-thermal dynamical strain pathway – FASTRAIN
Driving matter far away from equilibrium by ultrafast laser pulse opens new avenues to direct materials to other macroscopic phases through non-thermal dynamical pathways. The FASTRAIN project aims to unravel the physical backgrounds of ultrafast phase transitions in quantum materials caused by a un
Ultra-Compact Non-linear Metamaterial Wave Processors for Analog Deep Learning – MetaLearn
Information processing based on tailored wave-matter interactions emerges as an appealing alternative to conventional digital processors in terms of speed and energy consumption, in particular for low-latency low-power Internet-of-Things sensors with artificial intelligence (AI). We will introduce l
Ultra Low Power Smart 3D Cochlea – ULP-COCHLEA
Objective 1: Design a bioinspired analog cochlea The objective is to design a bioinspired CMOS cochlea able (like any mammal ear) to convert acoustic analog signals to parallel trains of spikes and bi (multi-channel) naurally to localization. The cochlea will be connected to an existing ULP hydroph
Ultra Low Power Consumption Low Noise Cryogenics and Ambient MMIC for Space Telecommunications in Q-band – Low.IQ
The main objective of this proposal is to develop low noise receivers in Q-band. Targeted applications are space telecommunications, with potential applications such as: - Ambient temperature LNAs for Payload applications, where the HF performance, and in particular the noise figure are important
UNderwater robotics with multi-moDal communIcation and Network-Aided positioning system – UNDINA
UNDINA intends to improve connected underwater robotic technology by increasing the reliability of communication, networking, and positioning systems using deep integrations, mathematical modeling, and algorithmic methods. The partners will develop novel cognitive communication algorithms, and netwo
Trustworthy and Robust Artificial INtelligence – TRAIN
Artificial Intelligence (AI) technologies can efficiently process large amounts of data, to help stakeholders improve their services and propose applications tailored to the end-user needs. While the benefits of AI technologies for the industry and the society can be manifold and range from persona
