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semantiC segmentatiON oF compLexe soUnd scEnes oN edge deviCEs – CONFLUENCE
The CONFLUENCE project aims to develop artificial intelligence (AI) technologies for sound semantic segmentation of acoustic signals that can recognize sound events and separate/isolate the signals of the sound sources forming semantic entities. This can be seen as an audio extension of the image se
edge AI tranSformer-based adaptable human roboT collaboration system for smartER Industry 4.0X – Asterix
Facing a growing demand in industries for customised products and shortage of qualified labour, the Astérix project aims to develop a smart, safe, easily adaptable edge AI empowered transformer-based human robot collaboration (HRC) system for assembly tasks in industry as an effective solution to p
Chinese European Dictionaries: Lexicographical Manuscripts for the Historical Study of Exchanges between China and Europe (end of 16th -beginning of 19th centuries)) – ChEDiL
The project focuses on a corpus of Chinese-European dictionaries (end of the 16th - beginning of the 19th c.), preserved in manuscript form, which have played a key role in the circulation of knowledge between China and Europe. Dictionaries are emblematic objects of globalization and complex artefac
LIGHTweight edge artificial intelligence for Sensing and WIreless communications in connected FacTories – LIGHT-SWIFT
Artificial intelligence (AI) brings without any doubt huge opportunities to optimize efficiency of every industrial application and is a key point of Industry 4.0. The deployment of various sensors in factories, also called Industrial Internet of Things (IIoT) can either help workers in charge of ma
Multicompartmental lung quantitative computed tomography MLQ-CT – MLQ-CT
The development of High-Resolution Computed Tomography (HRCT)-scan has been a major revolution in pulmonology and particularly made a breakthrough in interstitial lung diseases (ILDs) classification. ILDs compose a large and heterogeneous group of disorders characterised by a large spectrum of diffu
Autonomous System for Terrain Recognition & Adaptation – ASTRA
The navigation of an autonomous system (robot or vehicle) in an unstructured environment remains an open problem despite the significant progress made in recent years in the field of autonomous vehicles. Recent innovations in the field of perception using Deep-Learning methods suggest solutions that
Autonomous Navigation for Intelligent Vehicles and Robots – NAVIR
The NAVIR project is being led by HawAI.tech in collaboration with the Chroma team at Inria, with the aim of developing, demonstrating, and promoting the use of probabilistic approaches in mobile robotics. To do this, the research team will combine its expertise in perception and embedded navigation
Mobilité en Environnement Enrichi par les Données et interprétées pour l'Autonomie de Navigation – MEEDIAN
The consortium associates Safran Electronics & Defense (SED) with the robotics laboratory (CAOR) of Mines Paris Science et Lettres. The project applies to the MOBILEX challenge call for proposals and addresses two fundamental points of autonomous mobile robotics : the mobility in unstructured areas
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
Advanced Imaging of Strategic Light Elements – AISLE
Light elements classified as critical metals are difficult to detect, analyze and even less to quantify directly by conventional analytical methods based on X-ray fluorescence (EMPA, EDS, µXRF). Direct quantification of these elements in individual mineral phases is rarely achieved and these methods
