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DEEP OSCILLATORY NEURAL NETWORKS COMPUTING AND LEARNING THROUGH THE DYNAMICS OF RF NEURONS INTERCONNECTED BY RF SPINTRONIC SYNAPSES

Project description

An innovative artificial neural network could learn up to 10 million times faster than we do

Developing artificial neural networks that can learn, process and 'think' as the brain does is a sort of Holy Grail with virtually limitless applications. Deep learning paradigms exploiting multilayer hierarchical artificial neural networks mimicking the brain's structure can also mimic the brain's ability to learn by example. They have achieved tremendous success, even exceeding human performance in some cases. The EU-funded RadioSpin project plans to demonstrate deep learning networks processing radiofrequency (RF) signals and learning at speeds up to 10 million times faster than a human brain. Benchmarking applications will target mammography and IoT RF fingerprinting.

Call for proposal

H2020-FETPROACT-2018-2020

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Sub call

H2020-FETPROACT-2020-01

Coordinator

UNIVERSITE DE BORDEAUX
Net EU contribution
€ 833 045,75
Address
Place Pey Berland 35
33000 Bordeaux
France

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Region
Nouvelle-Aquitaine Aquitaine Gironde
Activity type
Higher or Secondary Education Establishments
Other funding
€ 833 045,75

Participants (6)

Third-party

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.

INSTITUT POLYTECHNIQUE DE BORDEAUX
France
Net EU contribution
€ 65 480,50
Address
Av Du Docteur Albert Schweitzer 1
33402 Talence

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Region
Nouvelle-Aquitaine Aquitaine Gironde
Activity type
Higher or Secondary Education Establishments
Other funding
€ 65 480,50
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
France
Net EU contribution
€ 611 510,00
Address
Rue Michel Ange 3
75794 Paris

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Region
Ile-de-France Ile-de-France Paris
Activity type
Research Organisations
Other funding
€ 611 510,00
LABORATORIO IBERICO INTERNACIONAL DE NANOTECNOLOGIA LIN
Portugal
Net EU contribution
€ 726 562,50
Address
Avenida Mestre Jose Veiga
4715-330 Braga

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Region
Continente Norte Cávado
Activity type
Research Organisations
Other funding
€ 726 562,50
THALES
France
Net EU contribution
€ 681 172,50
Address
Tour Carpe Diem Place Des Corolles Esplanade Nord
92400 Courbevoie

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Region
Ile-de-France Ile-de-France Hauts-de-Seine
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 681 172,50
UMBRIA BIOENGINEERING TECNOLOGIES SOCIETA A RESPONSABILITA LIMITATA
Italy
Net EU contribution
€ 673 062,50
Address
Via Santa Maria Della Spina 25
06081 Frazione Rivotorto

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Centro (IT) Umbria Perugia
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 673 062,50
CLANCY HAUSSLER RITA
Austria
Net EU contribution
€ 282 108,75
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 282 108,75