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Beyond Fourier Heat Flux Manipulation through Nano-Architectured 2D Materials – BF2D
Making feasible and reliable the densification of electronic devices requires intelligent and innovative design solutions at the nanoscale. In this project, we propose to exploit new phenomena that have been predicted theoretically and numerically at the nanoscale and/or proven partially experimenta
Validation of bio-monitoring integration in a smart hood in critical aquatic and airborne environments – VIGILENS
The safety and performance of operators in extreme environments in the world of modern challenges such as mastering the seabed and space make human bio-monitoring indispensable. Sensors integrated into operators' suits and peripherals, rapidly detecting any life-threatening anomalies, are particular
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
Graph Neural Networks model introspection via learning and exploiting rules – PANDORA
The recent major advances in Artificial Intelligence are to a very large part due to the significant progress in Machine Learning on the topic of Deep Neural Networks, which have been shown to be able to achieve state-of-the-art performance in just about any application area. Such networks have a la
Facial Analysis and Regulation - Support for Ethics and Explainability – FAR-SEE
The FAR-SEE project aims to study the issues of sampling bias, fairness, uncertainty and explicability of these features for Artificial Intelligence (AI)-based face recognition systems, with the aim of improving existing algorithms, revealing 'optimal' performance/fairness/explicability trade-offs a
Deep Neural Networks for the design of photonic devices – DNN4Photonics
The urgent need for innovative solutions underscores the transformative impact of enhanced modeling in advancing large-scale nanophotonics. To address these challenges and expedite the design process, recent studies have explored the potential of Artificial Intelligence (AI), specifically Deep Lear
Determinants and impact of AI Education – AI-Edu
“The best way to send knowledge from one place to another is to wrap it up in a person”. This famous quote by Robert Oppenheimer depicts the importance of individuals in acquiring and transferring knowledge. Among individuals acting as vectors for knowledge transfer, PhD graduates, a highly educated
Optimized joint analysis of thoracic aortic 3D morphology and blood flow hemodynamics from MRI images – MAGNOLIA
Cardiovascular diseases at the early stages typically include alterations of the aorta, which is the largest artery connected to the heart and carries oxygenated blood towards the whole body. Indeed, each heartbeat generates mechanical stress and elevated pressures on the aortic wall that can be amp
Reasoning about Games for creating and refIning strategies – NOGGINS
The goal of this project is to build intelligent players that can learn and represent in a symbolic way strategies for playing games while considering different perspectives starting from “winning the game” to “being ethical”. To do so, agents will reason at first about the rules governing the games
Mixed Initiative Co-Creative Design for Long-Term Human-AI Musical Partnerships – MICCDroP
Current Human-Artificial intelligence (Ai) co-creative systems, also known as Mixed Initiative Co-Creative systems (MICC) have opened new avenues in music generation. These systems facilitate novel creative processes and modes of interactions. However, these systems lack the ability for long-term ad