Search for a funded project
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
Graph Neural Networks for Robust AI/ML-driven Network Security Applications – GRAPHS4SEC
The application of Artificial Intelligence (AI) and Machine Learning (ML) to network security (AI4SEC) is paramount against cybercrime. While AI/ML is mainstream in domains such as computer vision and natural language processing, traditional AI/ML has produced below-par results in AI4SEC. Solutions
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
Gravitational wave search with a Pulsar Timing Array in France – PTA-France
We propose to make a leap in the sensitivity to gravitational waves by quadrupling the observation bandwidth available at the Nançay Radio Observatory, to complete this effort by allowing an effective participation of France in the MeerTime consortium for the exploitation of MeerKAT (South Africa),
Green Artificial Intelligence – GrAI
In recent years, artificial intelligence (AI) has become increasingly intertwined with our daily lives. However, AI such as that currently supported by most major players in the industry like GAFAM, is decentralized to servers. Since the electricity consumption of Internet infrastructures represents
Green Dynamic Spectrum Aggregation – Green-Dyspan
The proliferation of wireless mobile networks and the ever-increasing density of wireless devices underscore the necessity for efficient allocation and sharing of the radio spectrum resource. Traditional wireless communication techniques support exclusively the utilization of continuous spectrum ban
HEalth evAluaTion of COncrete Fundation For ElEctricity transport – HEAT COFFEE
Electrical energy plays a very important role or the welfare and survival of human beings and for the development of the country. Electricity must necessarily be available at a competitive price and at a regular, uninterrupted, uniform and stable supply. Otherwise, there will be disruptions in produ
HPC BIG DATA ARTIFICIAL INTELLIGENCE CROSS STACK PLATFORM TOWARDS EXASCALE – ACROSS
Supercomputers have been extensively used to solve complex scientific and engineering problems, boosting the capability to design more efficient systems. The pace at which data are generated by scientific experiments and large simulations (e.g., multiphysics, climate, weather forecast, etc.) poses n
HUman-MAchine Affective INteraction & Ethics – HUMAAINE
Abstract: The new uses of affective social robots, conversational agents, and the so-called “intelligent” systems, in fields as diverse as health, education or transport reflect a phase of significant change in human-machine relations which should receive great attention. How will Human co-learn, co
HUman-MAchines CooperatioN for flexIble production SysteMs – HUMANISM
The objective of the HUMANISM project is to study, design and experiment with innovative and cooperative systems for the diagnosis and control of intelligent manufacturing systems involving human production and supervision operators. Two complementary contributions have been proposed targeting the d
