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Reducing Risk Compensation – GERICO
A series of studies converge in the finding that, during the Covid-19 emergency, compliance with the mandate to wear a face mask generally leads to lower compliance with the recommendation to keep a minimal physical distance from others. In the present state of knowledge, we know that this form of r
Scalable and Efficient Linear and Eigenvalue Solvers Using Tensor Decompositions – SELESTE
Tensor methods have witnessed a remarkable recent progress in theory, algorithms, and applications in many domains including signal processing, big data analysis, artificial intelligence, and scientific computing. Among these advancements is the introduction of tensor-based solver frameworks based o
AI and Engineering@Lille – AI_Engineering_PhD@Lille
Artificial Intelligence spreads and disseminates very quickly in all fields, providing big changes and numerous new opportunities. In particular, AI impacts all research and application areas of engineering, and this effect will continue to increase in the near future. For this reason, AI is a key
LEArning neural networks with FLExible nonlinearities by Tensor methods – LeaFleT
Neural networks are a fundamental tool for solving various artificial intelligence tasks, such as supervised and unsupervised classification. Recent progress is linked to deep neural networks with extremely large number of layers, which helped to achieve remarkable results in the context of many ap
Exploration and Visual Reconnaissance of Disaster Sites by Drones – EPERVIER
Drone surveillance in disaster situations has become an essential tool for damage assessment, human life rescue, and investigation of causes. Thanks to their ability to quickly access areas that are difficult or dangerous for humans, drones can collect critical real-time data, such as aerial images,
Articulate anything – ARTANY
The Articulator Anything project aims to reconstruct the three-dimensional dynamic evolution of the vocal tract for any language and any speaker. It falls within the field of articulatory synthesis, modeling and simulating the physical process of human speech production using advanced artificial int
Reducing the energy footprint of software through users’ behavioral changes – BEHAVE
The rise of the energy consumption of software systems requires the need to monitor, optimize and reduce their ecological impact. The role of users is often neglected in the energy optimization equation. In particular, end users are rarely given information or feedback about the energy consumption o
Dynamic Optimization of Hospital Schedules through AI and Digital Twins for Resilient Healthcare – SmartGuard
The project "Dynamic Optimization of Hospital Schedules via AI and Digital Twins for Resilient Healthcare" aims to transform human resource management in healthcare facilities. Faced with growing challenges such as service overload and a shortage of practitioners, exacerbated by the COVID-19 crisis,
Increasing Sustainability through Tolerance Allocation and Quality Control Strategies in high Precision Manufacturing - Application on Hydrogen Valves – H2-TACTICS
EU-Sustainable Products Regulation based on new Eco-design Directive aims to substantially enhance circularity, energy efficiency, and overall environmental sustainability of products sold within the EU. Integrating environmental considerations into every phase of the product lifecycle plays a cruci
Exploring the Interplay between Emotions and Distortion in Informal Science Discourse – EMO-SCI
Scientific claims and informal discussions about science-related issues online have increased significantly, often becoming tools for manipulative narratives and disinformation. Emotions like fear and pride play a key role in spreading such claims, especially during crises like pandemics or natural
