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Financement de l’UE (8 822 236 €) : ULTRA-ENERGY EFFICIENT AND SECURE NEUROMORPHIC SENSING AND PROCESSING AT THE ENDPOINT Hor04/09/2022 Programme de recherche et d'innovation de l'UE « Horizon »
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ULTRA-ENERGY EFFICIENT AND SECURE NEUROMORPHIC SENSING AND PROCESSING AT THE ENDPOINT
Today only very light AI processing tasks are executed in ubiquitous IoT endpoint devices, where sensor data are generated and access to energy is usually constrained. However, this approach is not scalable and results in high penalties in terms of security, privacy, cost, energy consumption, and latency as data need to travel from endpoint devices to remote processing systems such as data centres. Inefficiencies are especially evident in energy consumption. To keep up pace with the exponentially growing amount of data (e.g., video) and allow more advanced, accurate, safe and timely interactions with the surrounding environment, next-generation endpoint devices will need to run AI algorithms (e.g., computer vision) and other compute intense tasks with very low latency (i.e., units of ms or less) and energy envelops (i.e., tens of mW or less). NimbleAI will harness the latest advances in microelectronics and integrated circuit technology to create an integral neuromorphic sensing-processing solution to efficiently run accurate and diverse computer vision algorithms in resource- and area-constrained chips destined to endpoint devices. Biology will be a major source of inspiration in NimbleAI, especially with a focus to reproduce adaptivity and experience-induced plasticity that allow biological structures to continuously become more efficient in processing dynamic visual stimuli. NimbleAI is expected to allow significant improvements compared to state-of-the-art (e.g., commercially available neuromorphic chips), and at least 100x improvement in energy efficiency and 50x shorter latency compared to state-of-the-practice (e.g., CPU/GPU/NPU/TPUs processing frame-based video). NimbleAI will also take a holistic approach for ensuring safety and security at different architecture levels, including silicon level.
| Queen Mary University of London | ? |
| Agencia Estatal Consejo Superior de Investigaciones Cientificas | 686 740 € |
| AVL List GmbH | 168 250 € |
| Barcelona Supercomputing Center Centro Nacional de Supercomputacion | 538 125 € |
| Codasip s.r.o. | 423 750 € |
| Commissariat a L Energie Atomique et aux Energies Alternatives | 760 223 € |
| Ikerlan S. Coop | 758 744 € |
| Interuniversitair Micro-Electronica Centrum | 876 521 € |
| Menta SAS | 723 438 € |
| Monozukuri - S.p.A. | 606 250 € |
| Politecnico Di Milano | 418 918 € |
| RAYTRIX GmbH | 347 500 € |
| SNAP B.V. | 633 750 € |
| STICHTING IMEC NEDERLAND | 246 880 € |
| Technische Universitaet Wien | 330 160 € |
| Ulma Medical Technologies SL | 146 250 € |
| Universitat Politecnica de Valencia | 485 813 € |
| UNIVERSITEIT LEIDEN | 469 250 € |
| Viewpointsystem GmbH | 201 675 € |
https://cordis.europa.eu/project/id/101070679
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 : Queen Mary, University of London Foundation, Londres, Royaume Uni.
