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Very Efficient Deep Learning in IOT

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.

Field of science

  • /natural sciences/computer and information sciences/internet/internet of things
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning/deep learning
  • /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/automation and control systems/home automation

Call for proposal

H2020-ICT-2020-1
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

UNIVERSITAET BIELEFELD
Address
Universitaetsstrasse 25
33615 Bielefeld
Germany
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 1 899 000

Participants (11)

EMBEDL AB
Sweden
EU contribution
€ 725 750
Address
Massans Gata 10
402 24 Gothenburg
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
CHALMERS TEKNISKA HOEGSKOLA AB
Sweden
EU contribution
€ 568 125
Address
-
41296 Goeteborg
Activity type
Higher or Secondary Education Establishments
SIEMENS AKTIENGESELLSCHAFT
Germany
EU contribution
€ 691 832,50
Address
Werner-von-siemens-str. 1
80333 Munchen
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
CHRISTMANN INFORMATIONSTECHNIK + MEDIEN GMBH & CO KG
Germany
EU contribution
€ 925 375
Address
Ilseder Hutte 10
31241 Ilsede
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
UNIVERSITE DE NEUCHATEL
Switzerland
EU contribution
€ 540 250
Address
Faubourg De L'hopital 41
2000 Neuchatel
Activity type
Higher or Secondary Education Establishments
UNIVERSITAET OSNABRUECK
Germany
EU contribution
€ 327 250
Address
Neuer Graben/schloss 29
49074 Osnabrueck
Activity type
Higher or Secondary Education Establishments
VEONEER SWEDEN AB
Sweden
EU contribution
€ 359 500
Address
Wallentinsvagen 22
447 37 Vargarda
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
GOETEBORGS UNIVERSITET
Sweden
EU contribution
€ 354 250
Address
Vasaparken
405 30 Goeteborg
Activity type
Higher or Secondary Education Establishments
RISE RESEARCH INSTITUTES OF SWEDEN AB
Sweden
EU contribution
€ 589 718,75
Address
Brinellgatan 4
501 15 Boras
Activity type
Research Organisations
FCIENCIAS.ID - ASSOCIACAO PARA A INVESTIGACAO E DESENVOLVIMENTO DE CIENCIAS
Portugal
EU contribution
€ 370 345
Address
Campo Grande, Edificio C1, Piso 3
1749 016 Lisbon
Activity type
Research Organisations
ANTMICRO SP ZOO
Poland
EU contribution
€ 645 250
Address
Ul Zwierzyniecka 3
60 813 Poznan
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)