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Electrical Multiscale Bio-inspired Live-skin interfaces in Aeronautics – EMBIA
Inspired from the highly efficient aerodynamics of birds, versatility of the jelly-moon fringes, manta ray and sharks, the multidisciplinary project EMBIA creates a “live skin” composed of an innovative moving interface between an air-vehicle and the surrounding turbulence. The solid-fluid interface
Electromagnetic Energy Scavanging – REC-EM
This project involves the energy harvesting and RF-DC conversion from electromagnetic energy. Improving energy independence of active and intelligent communicating objects for industrial applications is described here. Today there is a steady increase in the number of intelligent communicating obje
Embedded Artificial Intelligence and Endoscopic Capsule – ICI-Lab
The ICI-Lab joint laboratory, a partnership between LIP6 and the company BodyCAP, aims to study and develop smart biomedical electronic devices to aid in the diagnosis of diseases of the intestinal tract. The ICI-Lab benefits from scientific expertise in AI and in embedded systems for biomedical dev
Embedded Artificial Intelligence for Quality Assurance in Additive Manufacturing and Advanced 3D Material Characterization – AIQuAM3D
AIQuAM3D is a French-German research project that will open up application fields of artificial intelligence (AI) and improve the use of AI in cutting-edge technologies. The SMEs Xploraytion (DE) and Novitom (FR), together with the research organizations SOLEIL (FR) and Fraunhofer IPK (DE), constitu
Embedded multi-sourCE analySis for the exploration of the underwAteR environment (CESAR) – CESAR
Human knowledge of the underwater environment are limited and does not allow industrial exploitation nor ecosystem monitoring. This project foccus on the exploration of complex environments by cross-referencing multimodal data for decision-making support and knowledge improvement. More specifically,
Emergent communication through curiosity-driven multi-agent reinforcement learning – ECOCURL
The ECOCURL project is grounded in the following hypotheses: • H1: Intrinsically-motivated learning can encourage emergent communication in cooperative multi-agent environments by guiding the agents towards the autonomously discovery of a diverse set of skills for improving their control over the e
Enabling Learnability in Embodied Movement Interaction – ELEMENT
Our project addresses movement learning and interactive gestural systems. We propose to address three main research questions. 1) How to design body movements, whose components might be easy to learn, but allowing for complex/rich interaction techniques that go beyond simple commands? 2) W
Enabling dynamic and Intelligent workflows in the future EuroHPCecosystem – eFlows4HPC
The methodologies currently available for developing workflows : a) do not meet the demands of increasingly complex applications, which require new methodologies that support HPC simulations or modeling, data analysis and machine learning in a holistic workflow. b) are unable to make the most of t
Enabling working methods for human-machine collaboration in industry 4.0 – COLLABORATION-4_0
Digital technologies 4.0 should help the operator find meaning and well-being at work. The industry of the future integrates new technologies into production systems, but companies are not all at the same level of maturity, particularly for work situations where technology contributes to the develop
End-to-End Neural Approaches for Speech Translation – ON-TRAC
The ON-TRAC project aims to explore emerging technologies from the field of deep learning in order to design, implement, experiment and disseminate a new approach to automatic speech translation that overcomes the constraint previously exposed (no transcription of the speech in the source language).
