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High performance microelectrochemical actuators based on 2D MXenes – MEACT
Microelectrochemical actuators are attractive for artificial intelligence due to the dynamic tunable interactions for human-machine interface. In order to achieve high performance electro-mechanical transductive actuator using electrochemical driving force, high ion storage of electrodes play an imp
High performance numerical architecture for Distributed Acoustic Sensing – ANTIPASTI
The deployment of DAS (Distributed Acoustic Sensing) system is booming both for civilian, military and intelligence applications. In particular, these systems enable underwater passive acoustic surveillance. Currently available DAS systems have spatial resolutions of a few meters and can interrogate
High prEcision and Robust Blind guidance System – HERBS
According to the World Health Organization (WHO), the number of visually impaired people is expected to triple by 2050, reaching 588M in the world. Today, in France, this population represents 1.8 million people. They remain poorly integrated in our society, in part due to mobility constraints. In f
High-throughput combinatorial and autonomous pathways in Solid State Chemistry
Ces dernières années, des approches originales ont été développées pour accélérer la découverte de nouveaux matériaux : La voie combinatoire et la voie de recherche autonome. La voie combinatoire permet la production de librairie de matériaux contenant formellement plusieurs centaines voire milliers
Holistic Analysis of Organised Misinformation Activity in Social Networks – HAMISON
Project Summary Given a scenario of organised intentional misinformation campaigns, often termed as disinformation, we as a society must be aware not only about fake news, but also about the agents that introduce false or misleading information, their supporting media, the nodes they use in the s
Holistic and Generalizable Solutions for Bias Mitigation in Face Recognition – GOOD-BIAS
Bias in AI results from systematic discrimination in artificial intelligence systems. Often, this stems from non-representative training data or societal biases reflected within even diverse datasets. Such biases can lead to unfair advantages for certain groups, with consequences ranging from hiring
Holistic explainable artificial intelligence schemes for lung cancer prognosis – Hagnodice
Artificial Intelligence and its current success in a variety of fields influences also considerably the field of health care. A great number of algorithms currently provide powerful solutions, assisting medical doctors in their everyday practice in particular for diagnostic purposes. The ambition o
Homogeneous and heterogeneous catalytic CO2 Reduction Mechanisms wIth Neural networks and Enhanced sampling – HERMINE
This project aims to develop advanced artificial intelligence (AI)-driven molecular simulations to uncover the mechanisms governing carbon dioxide (CO2) reduction, a critical process in the fight against climate change. Converting CO2 into valuable chemical products requires efficient catalysts, yet
Hours - Recognition, Analysis, Edit(ion)s – HORAE
HORAE (Hours - Recognition, Analysis, Editions) is a cross-disciplinary research project studying religious practices and experiences in the late Middle Ages through the books of hours, the absolute medieval best seller. In a public-private partnership, it gathers three partners in the Humanities an
How does greenwashing affect the stock market? – GreenLies
The goal of this project is to determine the impact of greenwashing on investors’ portfolio allocations and asset prices. Specifically, we want to develop methods to estimate the level of greenwashing used by firms. This will enable us to study which firms use greenwashing most (within which sector,
