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

Programme(s)

• H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Topic(s)

• ICT-56-2020 - Next Generation Internet of Things

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)