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Integrating Perspectives: Standpoint Logic for Knowledge Representation – SPaRK
Artificial intelligence initiatives like the semantic web enable the linking of machine-readable data from various sources and the exploitation of knowledge representation (KR) artefacts, such as ontologies and knowledge graphs, to support advanced automated reasoning tasks. Coupled with the vast am
PICNICS: PoInt Cloud compressioN for human perceptIon and maChine viSion – PICNICS
The main objective of the PICNICS project is to build an efficient end-to-end compression scheme dedicated to static and dynamic 3D point clouds, for both machine and human vision tasks. It will rely on the most recent artificial intelligence techniques to propose powerful solutions to the challenge
Components Control Communication for DC microgrid – C3µ
This project proposes an architecture of a meshed DC microgrid for delivery of electrical energy in tertiary or residential building, with a central management system in a first time to distribute needs and to associate in a most effective way an intermittent renewable source of energy. It will spec
Machine learning with deep neural networks – Deep_in_France
In recent years we have witnessed an explosion of successful applications of deep learning including speech recognition, automatic translation, self-driving cars, computers that can beat professional Go players, and recommender systems. Deep networks designed for these tasks have millions and billi
AppRoximaTivE Flexible Circuits and Computing for IoT – ARTEFaCT
Energy issues are central to the ICT industry, and especially to the evolution of the Internet of Things (IoT). Current low-power design techniques cannot support the estimated growth in number IoT objects and in the same time keep the ICT energy consumption within sustainable bounds. This project a
Big Data Network – MDK
In a broad range of application areas, data is produced at a scale so that it cannot be managed with conventional technologies. This has led to the emergence of the Big Data phenomenon requiring new tools for collecting, querying and mining large sets of data. Heterogeneous data collected in a m
Acurate Human Modeling in Video – ACHMOV
The technological advancements made over the past decade now allow the acquisition of vast amounts of visual information through the use of image capturing devices like digital cameras or camcorders. A central subject of interest in video are the humans, their motions, actions or expressions, the w
Anthropomorphic Action Planning and Understanding – ENTRACTE
The ENTRACTE project addresses the problem of motion planning for anthropomorphic systems, and more generally, the problem of manipulation path planning. The associated trajectories are living in well-identified mathematical spaces, composed of multiple leaves made of locally parallel submanifolds,
Annotation collaborative de documents multi-modaux, multi-lingues et multi-média – CAMOMILE
Human activity is constantly generating large volumes of heterogeneous data, in particular via the Web. These data can be collected and explored to gain new insights in social sciences, linguistics, economics, behavioural studies as well as artificial intelligence and computer sciences. In this reg
Calculateurs humains pour l'extraction de connaissance et l'évaluation – uComp
The rapid growth and fragmented character of social media and publicly available structured data challenges established approaches to knowledge extraction. Many algorithms fail when they encounter noisy, multilingual and contradictory input. Efforts to increase the reliability and scalability of the
