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Connectivity Suited artificial INtelligence BAsed Decision-support Systems - toward automated and self-sustained c-its services – C-SINBADS
C-SINBADS explores the development of C-ITS services that are automatically generated and sustained by the data produced through their use, particularly from the telecommunications networks that support these services. This new generation of C-ITS services will offer several key advantages: they wil
Artificial Intelligence in Real-Time systems – ARTi
The growing utilization of artificial intelligence (AI), like deep neural networks, in embedded real-time systems poses many challenges. One of these is the very large quantity of data processed by these algorithms, which impacts their execution time and power consumption on resource-limited platfor
Swarm intelligence for navigating disordered flows using chemical signals – SWARMER
When a weakly diffusive chemical substance is transported through a turbulent or a porous medium, the resulting concentration field is characterised by a structure made of filaments stretched and folded by the flow. Many organisms have to navigate this complex landscape to find their way to the emit
Charting Artificial Intelligence – CHAI
Artificial Intelligence (AI) is a highly polysemic and ever-evolving field, encompassing a diverse set of actors with heterogeneous positions and principles. This includes researchers from various fields, be it exact sciences or social sciences, regulatory bodies, companies involved in developing or
ARTIFICIAL INTELLIGENCE AND ALGORITHMIC COLLUSION (AIAC) – AIAC
The rise of AI and automated pricing algorithms prompts questions about their market impact. It's hypothesized that these algorithms could facilitate collusion by optimizing utility, much like rational economic agents. This potential has been explored in contexts such as the European Digital Markets
Artificial Intelligence for the study if Charleville, Ré (Island), Tous and INED demographic data – DAI-CRETDHI
Historical demography and the social history of the family have long sought to measure phenomena, in time or space, by favoring methods of analysis based on aggregated corpora. Recent advances in artificial intelligence open up new perspectives for revisiting these themes, starting directly from the
Generative Network Intelligence and Optimization Ecosystem – GENIE
GENIE (Generative Network Intelligence and Optimisation Ecosystem) aims to revolutionize network infrastructure management by proposing an approach combining the strengths of Large Language Models (LLMs) and network domain-specific expertise. This novel solution addresses the limitations of conventi
INTELLIGENT PRONOSTIC AND DIAGNOSTIC TOOLS FOR OPERATIONAL PHOTOVOLTAIC PLANT – DIA-SOLAIRE
The DIA-SOLAIRE project aims to develop integrated diagnostic and prognostic approaches for existing and future photovoltaic (PV) power plants. These approaches will be hybrid, integrating both physical models and models based on experimental data, while exploring the potential of statistical and ma
AI integrated framework for intelligent geospatial handling and robust operation in MultiGIS applications – AI4MultiGIS
Summary MultiGIS provides precise and real-time spatiotemporal data analysis, which greatly benefits various applications including environmental monitoring, sustainable development, resilience-building, and urban planning. Despite wider adoption of MultiGIS applications, there are significant
