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An innovative instrument for real-time and high frequency monitoring of mineral dust contribution to PM10 – AERODUST
Mineral particles predominate in atmospheric aerosol, and drought episodes due to climate change significantly increase dust emissions or resuspension, with negative consequences for air quality. The WHO's target thresholds for air quality, and specifically for fine particulate matter, are leadi
(Re-)claiming digital sovereignty in discourse, policy and practice – ClaimSov
The concept of “digital sovereignty” (DS) is increasingly employed to describe various forms of independence, control, and autonomy – exerted by states, but also “quasi-state” entities such as indigenous first nations, autonomous regions or civil society collectives – over digital infrastructures, t
Synchronization of speech and gestures – SYNCOGEST
The SYNCOGEST project aims at modeling a part of the gestuality (mimics, postures and gestures) spontaneously deployed by speakers and their interlocutors during face-to-face communication, with a view to endowing embodied virtual conversational agents (ECAs) with a more natural and efficient attitu
Charting Artificial Intelligence – CHAI
Artificial Intelligence (AI) is a highly polysemic and ever-evolving field, encompassing a diverse set of actors with heterogeneous positions and principles. This includes researchers from various fields, be it exact sciences or social sciences, regulatory bodies, companies involved in developing or
Deep learning for automatic image-based biomonitoring of aquatic ecosystems – BIOINDIC-IA
Aquatic ecosystems are facing many anthropogenic pressures, highlighting the urgent need for developing innovative ecological diagnostic tools supporting the selection of robust management responses. Current diagnostic tools are able to estimate the ecological status from taxonomy-based (i.e. list o
evenT-based prEdictive analytics for Control and Health MAnagement of INdustrial sysTems – TECHMAINT
Prognostics and Health Management (PHM) has been widely used in industrial systems to provide real-time data management, processing and control. PHM aims to predict the evolution of the system state in the future based on the current and past condition monitoring data, in the way to anticipate syste
Knowledgeable and Multimodal Geographic Large Language Models Grounded with Reasoning and Retrieval – Geo-R2LLM
Recent Artificial Intelligence (AI) research has given rise to a paradigm shift brought by Large Language Models (LLMs). Though LLMs arose from research in Natural Language Processing (NLP), it is well-known today that zero-shot and few-shot transfer learning methodologies as well as novel promptin
Digital twins for heat treatment, optimization, and control of industrial furnaces – TwinHeat
In many industries, and in particularly in glass industry, furnaces are widely adopted technology involving fossil combustibles. Due to the global climate change, breakthroughs are expected to reduce the CO2 footprint. This is becoming all the more important for glass industry, where furnaces are us
A smart wing for the automated and low-cost aerial monitoring of marine megafauna – SMART-WING
Marine megafauna includes marine mammals, sea turtles, sharks and rays that are increasingly threatened worldwide. These species occur at low densities over vast areas so an efficient and large-scale monitoring method is urgently needed to identify and protect their critical habitats. Drones are eme
Machine Learning for Molecular Imaging and Medicine of the Future – AAIMME
Positron Emission Tomography (PET) is a powerful functional medical imaging modality. A radiotracer is injected to the patient, targeting a biochemical process and then gamma ray pairs are detected. Image reconstruction is needed to visualize and quantify the functional process of interest. The qual
