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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
Machine learning to improve neonates' General Movements Assessment – MAGMA
From birth, the movement of the baby as a whole and, in particular, of each segment (arms, legs, trunk) carries essential information whose expression depends on the baby's neuro-anatomical and functional cerebral integrity. However, it has been neglected as an early predictive marker of later devel
Scenarios of Potential Risks Evolution through Algorithms and Data in Sciences – SPREADS
SPREADS is a prospective study of the consequences of technological disruptions affecting the strategic management of knowledge in the era of digital platforms and massive databases that can be infected. From the perspective of cognitive warfare, the aim is to explore the hypothesis of radical sabot
COnverged coMMunication, control and scheduling Infrastructure for multi pods-based Transport Systems – COMMITS
Urban mobility is constantly introducing multiple environmental, societal and economic challenges. Indeed, due to the lack of effective transport alternatives, 54% of the French population still use their cars every day. To tackle such issues, URBANLOOP SAS is currently developing an on-demand and
Safe Worker-collaborative Navigation for Robotic Intralogistics in Infrastructure-free Warehouses – NavWare
The Industry 4.0 process is profoundly affecting the industrial structure of warehousing and intralogistics. Although existing warehouse robotization solutions explicitly assume the coexistence of autonomous mobile robots (AMRs) and human workers, they require humans to move carefully and that the c
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
Edge computing using biological neurons – IRVIN
AI is used on a large scale on a daily basis to perform various learning and classification tasks. As a result, computing power requirements increase exponentially. It therefore becomes mandatory to explore energy-efficient alternatives. The neuromorphic community tries to get closer to biological e
Predictive Modeling of Plant Gene Expression via AI Analysis of Phase Separation and Chromatin Structure – PlantSCAPE
Meeting the nutritional needs of a global population that is expected to increase by 2.4 billion people over the next thirty years represents a major challenge for agriculture. This growth will require a significant increase in agricultural productivity, while taking into account the growing impacts
Tolérance à la sécheresse et à la chaleur chez les plantes grâce à la conception d'ARN longs non codants assistée par l'IA – DHARP
Rice is one of the most important food crops globally, but its productivity is highly vulnerable to climate change, especially to increasing episodes of drought and extreme heat. These stresses often occur together and have a significant impact on yield and food security. While traditional breeding
Infrared multispectral tissue imaging to improve stratification for patients with head and neck cancer – TUMADMIR
Head and neck tumors are clinically and pathologically heterogeneous. While the vast majority of them arise from the malignant transformation of the squamous epithelium covering the upper aerodigestive tract, and are therefore squamous cell carcinomas, several histological subtypes have been descri
