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Explainable Predictive Maintenance – XPM
The XPM project aims to integrate explanations into Artificial Intelligence (AI) solutions within the area of Predictive Maintenance (PM). Real-world applications of PM are increasingly complex, with intricate interactions of many components. AI solutions are a very popular technique in this domain,
Explainable Quality Assurance and Diagnosis in Manufacturing Processes – XQuality
French and German manufacturing companies are known for their high-quality production and their orientation towards smart factories. Quality assurance and control of complex production systems is a major challenge and is further exacerbated by the shortage of skilled labour in this domain. Quality p
Explainable artificial intelligence for anti-money laundering – XAIforAML
Financial institutions and government authorities want to introduce more advanced AI tools in AML-CFT processes. Financial institutions see AI as a way to reduce costs. Regulators see AI as a way to identify more criminal networks that currently escape prosecution (the director of Europol estimates
Explainable intelligent maintenance solution for connected manufacturing systems – X-IMS
In the current industrialization landscape, the advent of the factory of the future, characterized by digitalization and connected intelligence, poses new requirements in terms of reliability, equipment availability, work safety and maintenance cost reduction. Faced with these challenges, the X-IMS
Explainable machine-learning approaches of echocardiography data for the prediction of cardiac resynchronization therapy – EXPERT
Cardiac resynchronization therapy (CRT) is an implant-based therapy applied to patients with a specific heart failure (HF) profile. The identification of CRT candidates is a challenging task. The application of current guidelines still induce a non-responder rate of about 30% and death remains high
Explaining Robustness And deriving Robust Explanations – ERARE
The project ERARE aims to develop novel approaches to generate robust explanations in constrained environments (e.g. frugal AI, contexts with limited access to resources or contexts where data is limited or flawed with incompleteness or impreciseness). It also aims to go beyond explaining model deci
Explicit Voice Attributes – EVA
Describing a voice in a few words remains a very arbitrary task. We can speak with a "deep", "breathy" or "hoarse" voice, but the full characterization of a voice would require a close set of rigorously defined attributes constituting an ontology. However, such a description grid does not exist. Ma
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,
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
Extended machine vision control capabilities using digital holography & artificial neural networks – HOLO-CONTROL
HOLO-CONTROL aims to explore multiscale sensitivity in the positioning of samples versus the six degrees of freedom (DoF) by digital holography to perform sub-voxel measurements in real-time. A key novelty of the project will be the incorporation of Artificial Intelligence (AI) harnessing Artificial
