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Content and Context based Adaptation in Mobile Networks – CANCAN
The aim of CANCAN is to bring about the next generation of mobile networks with cognitive capabilities. Mobile traffic is characterized by a strong contextual and content heterogeneity The capacity growth must be supplemented with a much more efficient usage of the resources: next-generation mobile networks are expected to be flexible enough to adapt themselves to spatiotemporal variations and content diversity, and to do so in a timely and automated manner.
Constraint Event-Driven Automated Reasoning – CEDAR
The two main challenges for the coming to pass of the Semantic Web are (1) scalability and (2) distribution. The problem of scalability is that a well-designed web-oriented Knowledge Base (KB) system must be able to handle larger and larger volumes of knowledge without unbearable degradation of performance. Dealing with the second challenge (distribution) is as complex an issue since it must deal efficiently and seamlessly with knowledge spread all over the net under “real-life” conditions.
Constrained Semantic Web of Things – CoSWoT
Constrained Semantic Web of Things
Connectivity Suited artificial INtelligence BAsed Decision-support Systems - toward automated and self-sustained c-its services – C-SINBADS
innovative algorithms that leverage Artificial Intelligence techniques to overcome the limitations of sparse
Concevoir et tester l'observatoire intelligent des territoires à l'ère Anthropocène
optiques, impression 3D, Internet des objets, intelligence artificielle) dans les défis de suivi in-situ [...] anthropisés par des réseaux évolutifs de capteurs intelligents. Cette année 2022 a permis d’asseoir
Concepts and Tools for the Development of Intelligence-led Policing in France and Germany – CODISP
Concepts for the Development of Intelligence, Security, and Prevention
Computer vision for an history of early news photo agencies at scale – HIGH-VISION
techniques and applying multimodal artificial intelligence to historical investigation and computer vision
Computational-Experimental Synergy for Innovative Optoelectronic Molecule design – CESIOM
chemistry, Quantum Mechanics (QM), and Artificial Intelligence, our approach facilitates a broader exploration [...] methods combining different fields of artificial intelligence, including combinatorial optimization and machine
Computational Social Choice – ComSoc
Similarly there is an active community in Artificial Intelligence interested by algorithmic problems. Unfortunately
