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Financement de l’UE (3 750 364 €) : Accélérateurs ferroélectriques évolutifs pour une IA de pointe économe en énergie Hor03/11/2023 Programme de recherche et d'innovation de l'UE « Horizon »
Vue d’ensemble
Texte
Accélérateurs ferroélectriques évolutifs pour une IA de pointe économe en énergie
The Ferro4EdgeAI project will provide an ultra-low power, scalable edge accelerator for artificial intelligence incorporating a memory augmented neural network, based on low cost, high density, multi-level, Back End of Line (BEoL) integrated ferroelectric (FE) technology. We expect to achieve a 2500x gain in energy-efficiency to break the POPS/W barrier with respect to the state-of-the-art CMOS accelerators and predictions for other emerging technology AI hardware. To do so, five ambitious specific objectives have been selected: - multi-level functionality in hafnia-based thin films by investigating the optimum trade-off in memory window, film thickness & stability of the ferroelectric state - low operating voltage for the non-volatile memory and robust multilevel operation of the FeFET-2 for high density logic operations and data storage. A low operating voltage is mandatory for power rating reduction, while robust multilevel operation is essential for analogue in-memory computing at the edge. - integration and characterization of multi-level, low voltage, FeFET-2 arrays - definition, design and demonstration of a low power FE AI accelerator suitable for scalable systems integration - Systems simulation of ultra-low power FE accelerator enhanced edge processing for targeted edge applications of voice and image recognition Ferro4EdgeAI is a multidisciplinary project engaging 12 partners from 6 countries covering the academic and industrial worlds (including 2 SMEs). An implementation plan is presented in the form of 6 work packages, 5 of which are technical in nature. Synergy in communication and dissemination by the several partners and stakeholders (including an external advisory board and collaboration with South Korea) will maximize the project progress and impact. Solutions to overcome the fundamental technological barriers as well as appropriate deliverables, tasks, milestones, and risks to complete the project objectives in due time are presented.
| Synsense AG | ? |
| Centrale Innovation SA | 0,00 € |
| Centre National de la Recherche Scientifique CNRS | 0,00 € |
| Commissariat a L Energie Atomique et aux Energies Alternatives | 1 301 866 € |
| Ecole Centrale de Lyon | 549 176 € |
| Ecole Superieure de Chimie Physique Electronique de Lyon | 0,00 € |
| Ferroelectric Memory GmbH | 327 750 € |
| Institut National des Sciences Appliquees de Lyon | 0,00 € |
| Namlab gGmbH | 626 175 € |
| Stmicroelectronics Crolles 2 SAS | 320 398 € |
| Stmicroelectronics Rousset SAS | 0,00 € |
| Stmicroelectronics Srl | 0,00 € |
| Technische Universiteit Delft | 625 000 € |
https://cordis.europa.eu/project/id/101135656
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel. L’état actuel est présenté à la page suivante : SynSense AG, Zurich, Suisse.
