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Financement de l’UE (4 969 451 €) : SYSTÈME DE VISION INTELLIGENT MULTISPECTRAL AVEC CALCUL NEURONAL EMBARQUÉ À FAIBLE CONSOMMATION D’ÉNERGIE Hor09/12/2020 Programme de recherche et d'innovation de l'UE « Horizon »
Vue d’ensemble
Texte
SYSTÈME DE VISION INTELLIGENT MULTISPECTRAL AVEC CALCUL NEURONAL EMBARQUÉ À FAIBLE CONSOMMATION D’ÉNERGIE
"MISEL aims at bringing artificial intelligence to the edge computing (decisions made on-device) through a low-power bio-inspired vision system with multi-spectral sensing and in sensor spatio-temporal neuromorphic processing based on complex events. The science-to-technology breakthrough is the heterogeneous integration of a neuromorphic computing scheme featuring three different abstraction levels (cellular, cerebellar and cortex processors) with high-density memory arrays and adaptive photodetector technology for fast operation and energy efficiency. The context-aware, low power and distributed computation paradigm supported by MISEL is promising alternative to the current approach relying on massive-data transfers and large computational resources, e.g., workstations or cloud servers. This answers to the challenges and related scope presented in the Work Programme towards ""more complex, brain mimicking low power systems"" ""exploiting a wider range of biological principles from the hardware level up"" by introducing the human eye like adaptivity with cellular processor and the data fusion, learning, reasoning, and “conscious” decisions performed by the cortex. The stand-alone system fabricated in MISEL will be tested on timely and challenging applications such as distinguishing birds from drones through their spatio-temporal flying signature, and scene anomaly detection from a mobile platform. From the technology development and industrialization point of view, MISEL includes the whole value chain: materials research for back-end of line (BEOL) processing-compatible densely-packed ferroelectric non-volatile memories (FeRAMs) and intensity adaptive photodetectors, novel neuromorphic computing algorithms and circuit implementations, and system level benchmarking. This is all in line with the challenge and scope of ""outperforming conventional SoA with relevant metric"" and benchmarking ""challenging end-to-end scenarios of use"" for industrial adaptation. "
| BERGISCHE UNIVERSITAET WUPPERTAL | 203 188 € |
| FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG e. V. | 300 425 € |
| GESELLSCHAFT FUR ANGEWANDTE MIKRO UND OPTOELEKTRONIK MIT BESCHRANKTERHAFTUNG AMO GmbH | 350 625 € |
| KOVILTA Oy | 990 000 € |
| Laboratoire National de Metrologie et d'Essais | 420 990 € |
| Lunds Universitet | 270 000 € |
| Politechnika Lodzka | 348 750 € |
| TEKNOLOGIAN TUTKIMUSKESKUS VTT Oy | 1 432 173 € |
| Universidad de Santiago de Compostela | 653 301 € |
https://cordis.europa.eu/project/id/101016734
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel.