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Graph Neural Networks for Explainable Artificial Intelligence – GraphNEx
GraphNEx will contribute a graph-based framework for developing inherently explainable AI. Unlike current AI systems that utilise complex networks to learn high-dimensional, abstract representations of data, GraphNEx embeds symbolic meaning within AI frameworks. We will combine semantic reasoning ov
Laboratory of Hydrological forecasting by Artificial Intelligence – Hydr.IA
The LabCom project associating the Hydrosciences Montpellier (HSM) research unit and the SYNAPSE company aims at developing a suite of hydrometeorological forecasting services based on artificial intelligence (AI) techniques. HSM is the leader research unit in the French environment for using artifi
Nano-technology and Artificial Intelligence for Next-gen Optical information Storage – NAINOS
Classical optical storage concepts like the Blu-ray are physically constrained in their information density by the optical diffraction limit. We propose a disruptive concept for next generation optical storage, combining silicon nanostructures, photonics and machine learning (ML). We design nano-str
Artificial Intelligence in Science and R&D: Applications and Implications – scientIA
Associated with the deluge of big data, Artificial Intelligence (AI) has gradually moved out of the fields where it sprung from - computer science and mathematics - to spread to all areas of scientific and industrial research. Introduced as an exogenous research technology, AI reshaped the scienti
Artificial Intelligence Methods for Energetic Particle transport in fusion plasmas – AIM4EP
Energetic particles are ubiquitous in magnetically confined fusion plasmas. They contain a significant fraction of the plasma energy and are thus vital for the performance of fusion devices such as ITER. However, the presence of energetic particles and the fact that fusion plasmas are complex system
Intelligent Sharing of Explanation Experience by users for users – iSee
A right to obtain an explanation of the decision reached by a machine learning (ML) model is now an EU regulation. Different stakeholders (e.g. patients, clinicians, developers, auditors, etc.) may have different background knowledge, competencies and goals, thus requiring different kinds of explana
ArgumeNtaTIon-Driven explainable artificial intelligence fOr digiTal mEdicine – ANTIDOTE
Providing high quality explanations for AI predictions based on machine learning is a challenging and complex task. To work well it requires, among other factors: selecting a proper level of generality/specificity of the explanation; considering assumptions about the familiarity of the explanation b
adaPtive Artificial iNtelligence fOR humAn coMputer interAction – PANORAMA
The key concept of PANORAMA is “user adaptive AI in the context of human-computer interaction”. First, we will conduct research on user adaptivity of Artificial Intelligence embodied as a conversational agent. When people talk to other people, they change their verbal and nonverbal communication beh
Artificial Intelligence for Human-Robot Interaction – AI4HRI
Europe and Japan both face problems of shrinking and aging population. This raises several issues, like missing workforce, and robots are often seen as a possible way for alleviating them. However, that would require that the robots are introduced into human societies and work in direct contact with
Multimedia archives enhancement: multimodal machine comprehension of language for new intelligent interfaces of scientific and cultural mediation – ARCHIVAL
Digital technology transforms the way people access knowledge, which remain difficult to reach despite numerous attempts to index and structure texts, videos and images according to structured repositories. Often presented as functional lists, search results interfaces offer few navigation and explo
