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VEDLIoT

financed

Very Efficient Deep Learning in 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 trigger... see more

31/01/2024

UNIBI

8M€

Project Budget: 8M€

Project leader

UNIVERSITAET BIELEFELD No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

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Financing granted El organismo H2020 notifico la concesión del proyecto The day 2024-01-31

ICT-56-2020: Next Generation Internet of Things

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

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13 Participantes

UNIBI

1.90M€ | Leader

EMBEDL AB

725.75K€ | participant

CHALMERS TEKNISKA HOGSKOLA A...

568.13K€ | participant

RISE

589.72K€ | participant

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Project duration: 42 months Date Start: 2020-07-29
End date: 2024-01-31

Project leader

UNIVERSITAET BIELEFELD No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 8M€

participation deadline Sin fecha límite de participación.

Project description 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.

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