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ARTificial Intelligence-based Cloud network control – ARTIC_2_Ukraine
By 2021, cloud IP traffic will be the most part of an Internet traffic that complexifies with an increasing devices diversity and traffic dynamicity. A proposal framed at the cloud to face this situation is the Knowledge Defined Networking (KDN), where Machine Learning (ML) and Artificial Intelligen
ARTificial Intelligence-based Cloud network control – ARTIC_1_Ukraine
By 2021, cloud IP traffic will be the most part of an Internet traffic that complexifies with an increasing devices diversity and traffic dynamicity. A proposal framed at the cloud to face this situation is the Knowledge Defined Networking (KDN), where Machine Learning (ML) and Artificial Intelligen
ASP technologIes for Querying large scale multisource heterogeneous web information – ASPIQ
The main objective of this project is to propose: 1. Extensions of standard ASP for representing OWL2 tractable sublanguages in order to provide a common representation of the knowledge provided by multiple sources, allowing to deal with inconsistencies, exceptions and uncertainties, while staying
Accelerated Discovery of Optical Materials by Artificial Intelligence – AI-DiscovMat
The discovery of new optical materials for the next generation of technologies is crucial for economic and societal issues. In particular, such materials are of high importance for the telecommunications, medicine, and low energy consumption lighting. The trial-and-error strategies commonly used to
Acoustic detection of start of fires in industrial sites – DAFI
The DAFI project presents the development and the evaluation of a detection system of start of fire in industrial sites, using sound modality. This proposal responds to the RA-SIOMRI call for the project, within the framework of the axis 1, by providing an operational and technological response to r
Acoustic environmental and individual factors shaping human hearing sensitivity: assessing the relative impact of urban and rural soundscapes – EARSCAPE
Anthropogenic noise is still not considered a serious contaminant with an impact on human health. However, the prediction of the number of people who will be affected by hearing and non-hearing diseases in 2050 has been revised upwards by WHO: it has tripled in 3 years, from 700 million to 2.5 billi
Acquire digiTal biomarkErs in infanCy witH sensorized TOYS for early detection and monitoring of neurodevelopmental disorders – TECH-TOYS
Neurodevelopmental disorders (NDDs) are a group of frequent (1/10 children) sensori-motor, cognitive, communication, learning, behavioural disorders of multifactorial aetiology, with onset early in life but lifelong consequences. Despite advances in our understanding of aetiology, diagnosis and star
Action, Logical Reasoning and Spiking networks – ALoRS
This project involves the design of a multiagent hybrid architecture. It approaches in a multidisciplinary way the study of conceptual neural networks based on spikes called ``spiking neural networks’’ (SNN), which have the advantage not only of being biologically credible, but favorable to be model
Active and batch Segmentation, Clustering, and seriation: toward unified foundations in AI – ASCAI
Unsupervised Learning is one of the most fundamental problem of machine learning, and more generally, of artificial intelligence. In a broad sense, it amounts to learning some unobserved latent structure over data. This structure may be of interest per se, or may serve as an important stepping stone
