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Financement de l’UE (7 996 646 €) : Deep Learning très efficace dans l’IOT Hor07/08/2020 Programme de recherche et d'innovation de l'UE « Horizon »
Texte
Deep Learning très efficace dans l’IOT
The ever increasing performance of computer systems in general and IoT systems, in particular, delivers the capability to solve increasingly challenging problems, pushing automation to improve the quality of our life. This triggers the need for a next-generation IoT architecture, satisfying the demand for key sectors like transportation (e.g. self-driving cars), industry (e.g. robotization or predictive maintenance), and our homes (e.g. assisted living). Such applications require building systems of enormous complexity, so that traditional approaches start to fail. The amount of data collected and processed is huge, the computational power required is very high, and the algorithms are too complex allowing for the computation of solutions within the tight time constraints. In addition, security, privacy, or robustness for such systems becomes a critical challenge. An enabler that aims at delivering the required keystone is VEDLIoT, a Very Efficient Deep Learning IoT platform. Instead of traditional algorithms, artificial intelligence (AI) and deep learning (DL) are used to handle the large complexity. Due to the distributed approach, VEDLIoT allows dividing the application into smaller and more efficient components and work together in large collaborative systems in the Internet of Things (IoT), enabling AI-based algorithms that are distributed over IoT devices from edge to cloud. In terms of hardware, VEDLIoT offers a platform, the Cognitive IoT platform, leveraging European technology, which can be easily configured to be placed at any level of the compute continuum starting from the sensor nodes and then edge to cloud. Driven by use cases in the key sectors of automotive, industrial, and smart homes, the platform is supported by cross-cutting aspects satisfying security and robustness. Overall, VEDLIoT offers a framework for the Next Generation Internet based on IoT devices required for collaboratively solving complex DL applications across a distributed system.
| Antmicro SP Zoo | 645 250 € |
| CHRISTMANN INFORMATIONSTECHNIK + MEDIEN GmbH & Co. KG | 925 375 € |
| Chalmers Tekniska Hogskola AB | 568 125 € |
| Embedl AB | 725 750 € |
| 0,00 € | |
| 370 345 € | |
| Goeteborgs Universitet | 354 250 € |
| Magna Electronics Sweden AB | 359 500 € |
| Rise Research Institutes OF Sweden AB | 589 719 € |
| SIEMENS AG | 691 833 € |
| UNIVERSITAET BIELEFELD | 1 899 000 € |
| UNIVERSITAET OSNABRUECK | 327 250 € |
| UNIVERSITE DE NEUCHATEL | 540 250 € |
https://cordis.europa.eu/project/id/957197
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