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HiErarchIcal DIsaggregated Scheduling for beyond-5G networks – HEIDIS
The entire telecom industry is going through a profound transformation driving the move towards open architectures and software-based networks. This trend is being moved ahead faster and gained momentum thanks to open-source software and standards for communication infrastructure components. On the
Controlling networks with safety bounded and interpretable machine learning – SAFE
During the last decade, Software Defined Networking introduced the idea of decoupling control and data planes. From the system side, the key advances include compute-intensive control planes, network virtualisation, data plane programmability, in-network processing with AI accelerators which enable
Artificial Intelligence in Drug Discovery for Health – AIDD4H-v2
AIDD4H-V2 is a LabCom in the field of personalized medicine, initiated by the Oncodesign a biopharmaceutical company and the CIAD EA 7533 laboratory, specialized in Hybrid and explainable Artificial Intelligence. AIDD4H, for Artificial Intelligence in Drug Discovery for Health, focuses more specific
Cham Documentation – CHAMDOC
Cham Documentation Keywords : Vietnam, Cham, ancient cham, middle cham, automatic indexing of the cham characters, artificial intelligence. Parterss : CASE, Paris ; L3i, La Rochelle ; MICA, Hanoi ; Lab. des Structures Sonores, Ottawa. Fundings requested : 418219 € Duration : 48 months The CH
Contextual and Aggregrated Information Retrieval – CAIR
The context of the project CAIR is data management and its objectives are search and intelligible organization of query results. These objectives are in the line of technologies highlighted, e.g., by Serge Abiteboul in his inaugural lecture at the Academy of Sciences, "one must develop technologies
Application on LArge and heterogeneous images database of Steganalysis techniK for Advances "into the wild" – ALASKA
The present ALASKA project studies the detection of data hidden within digital images. This technique, referred to as steganography, can be leveraged by criminal rings or terrorist groups. Therefore, developing steganalysis tools, that is for hidden data detection, is crucial for national defense an
Man-machine collaboration in continuous knowledge contruction-flows – Kolflow
Web 2.0 is currently producing a huge amount of information. Continuously transforming this information into knowledge is a major challenge for the research community. Automated reasoning or collective intelligence are currently two representative approaches to transform content into knowledge. The
Malicious actors profiling and detection in Online Social Networks through Artificial Intelligence – MARTINI
T6.1: Multimodal summarisation and feature extraction T6.2: Multimodal manipulation detection T6.3: Symbology and anthems detection This work was accepted for presentation at the ICASSP 2024 conference o Bi-LORA demonstrated its potential to significantly enhance multimodal feature extraction
AI on the edge for a secure and autonomous distribution grid control with a high share of renewable energies. – AI4DG
The objective is to control distributed resources (solar panels, batteries) located behind the meter of users connected downstream of a MV/LV transformer. A major challenge is to operate the equipment in a way that satisfies the users (e.g. reduction of the energy bill, maximum self-consumption) whi
Commonsense Knowledge & Hybrid Artificial Intelligence for Trusted Flexible MAnufacturing 4.0 – CHAIKMAT
In the context of Industry 4.0, flexible production plays an important role in the development of the factory of the future. The CHAIKMAT project aims to propose a new AI-based approach that will improve manufacturing flexibility, increase the transparency of decision-making, and strengthen human-ma
