Project description
Bringing the power of deep learning to the Internet of Things
As the Internet of Things (IoT) continues to take shape, promising widespread automation and data exchange, one of the biggest challenges is to act on the data generated. The amount of data collected is huge, the computational power required for processing is high, and the algorithms are complex. The EU-funded VEDLIoT project develops an IoT platform that uses deep learning algorithms distributed throughout the IoT continuum. The proposed new platform with innovative IoT architecture is expected to bring significant benefits to a large number of applications, including industrial robots, self-driving cars, and smart homes. The project offers an Open Call at project midterm, incorporating additional VEDLIoT-related industrial use-cases in the project, increasing the market readiness of the VEDLIoT solutions.
Fields of science
- 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
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
33615 Bielefeld
Germany
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Participants (12)
402 24 Gothenburg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
412 96 Goteborg
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80333 Munchen
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31241 Ilsede
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2000 Neuchatel
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49074 Osnabrueck
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447 37 Vargarda
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405 30 Goeteborg
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501 15 Boras
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1749 016 Lisbon
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
1749016 Lisboa
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60 813 Poznan
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.