Projektbeschreibung
Die Macht von Deep Learning verknüpft mit dem Internet der Dinge
Das Internet der Dinge (IoT) nimmt weiter Form an und verspricht weitreichende Automatisierung sowie Datenaustausch. Dabei ist eine der größten Herausforderungen der Einsatz der gewonnenen Daten. Die Menge der gesammelten Daten ist enorm, die notwendige Computerleistung zur Verarbeitung hoch und die Algorithmen sind komplex. Das EU-finanzierte Projekt VEDLIoT entwickelt eine IoT-Plattform, die im gesamten IoT-Kontinuum Deep-Learning-Algorithmen verwendet. Von der geplanten neuen Plattform mit innovativer IoT-Architektur werden wesentliche Vorteile für viele verschiedene Anwendungen erwartet, darunter auch Industrieroboter, selbstfahrende Fahrzeuge und intelligente Gebäude. Zur Mitte der Projektlaufzeit bietet es eine offene Ausschreibung, um zusätzliche mit VEDLIoT verbundene industrielle Anwendungsfälle in das Projekt zu integrieren und so das Erreichen der Marktreife für VEDLIoT-Lösungen zu beschleunigen.
Ziel
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.
Wissenschaftliches Gebiet
- natural sciencescomputer and information sciencesinternetinternet of things
- social sciencessociologyindustrial relationsautomation
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systemshome automation
Schlüsselbegriffe
Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenUnterauftrag
H2020-ICT-2020-1
Finanzierungsplan
RIA - Research and Innovation actionKoordinator
33615 Bielefeld
Deutschland