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Ultra-Compact Non-linear Metamaterial Wave Processors for Analog Deep Learning – MetaLearn
Information processing based on tailored wave-matter interactions emerges as an appealing alternative to conventional digital processors in terms of speed and energy consumption, in particular for low-latency low-power Internet-of-Things sensors with artificial intelligence (AI). We will introduce l
Voices from Online Labour: Inequalities in digital earning activities across countries – VOLI
Digital labour platforms use data and algorithms to match clients with workers, construed as independent contractors, for one-off ‘gigs’ without any long-term commitment. Building on scattered, but growing evidence that gender, race and other gaps persist in these settings, the proposed project addr
Machine learning And Matheuristics algorithms for Urban Transportation – MAMUT
The MAMUT project aims at designing an open platform for solving recurrent and dynamic vehicle routing problems in urban environments. In order to address these urban transportation problems, we propose to combine operations research (OR) and artificial intelligence (AI). OR is able to propose fast
Explainable Quality Assurance and Diagnosis in Manufacturing Processes – XQuality
French and German manufacturing companies are known for their high-quality production and their orientation towards smart factories. Quality assurance and control of complex production systems is a major challenge and is further exacerbated by the shortage of skilled labour in this domain. Quality p
Neural networks underlying temporally structured behavior – Cano-T
High-level cognitive processes such as planning, reasoning or language rely on temporal sequences of mental events. Recent studies of animal behavior have characterized the temporal structure of sequences of elementary behavioral events with similar concepts than those used to describe language, suc
AI system to solve the limited-data challenge for Robotic X-ray quality control of large objects – RoboQuality
Today, robotic tomography systems are able to inspect the internal and external parts of large objects, which opens up new possibilities for applications in sectors such as automotive or aeronautics. In order to be able to carry out the 3D reconstruction of the inspected object, a sufficient number
Assessing microbiological risks resulting from new consumption practices induced by climate change – SafeFood4ClimDiet
Climate change tends to worsen food safety and increase foodborne illness due to new factors along the supply chain and changes in behaviour. Some studies explore this "farm to fork" perspective, but often neglect the role of the consumer. However, the general public is increasingly concerned about
Ceramic embedded Metamaterials for Microwave Application Devices – CERMETAD
The project aims to develop metamaterials, implemented as metasurfaces, to function as Reconfigurable Intelligent Surfaces (RISs). These metasurfaces will be controlled using light waves transmitted through optical waveguides on a substrate carrier. The absorption of light at the waveguides crossing
Social Cognition Screening – SCOS
This research project questions the topic of social cognition of Autism Spectrum Disorder (ASD) at a fundamental level by investigating visual activity and the link between social cognition and cognition and at an applied level providing screening to professionals in the medical-social field. On an
TowaRds Energy Efficient diStributed learning for 6G – TREES
TREES aims to reduce the carbon footprint of 6G networks by integrating distributed federated learning (DFL), as a tool for predicting orchestration actions and improving energy efficiency. DFL is an Artificial Intelligence (AI) paradigm, one of whose advantages is that it consumes less energy. To a
