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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

Call for proposal

H2020-FETPROACT-2020-01
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

UNIVERSITE DE BORDEAUX
Address
Place Pey Berland 35
33000 Bordeaux
France
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 898 526,25

Participants (5)

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
France
EU contribution
€ 611 510
Address
Rue Michel Ange 3
75794 Paris
Activity type
Other
LABORATORIO IBERICO INTERNACIONAL DE NANOTECNOLOGIA
Portugal
EU contribution
€ 726 562,50
Address
Avenida Mestre Jose Veiga Congredados
4715 330 Braga
Activity type
Research Organisations
THALES
France
EU contribution
€ 681 172,50
Address
Tour Carpe Diem Place Des Corolles Esplanade Nord
92400 Courbevoie
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
UMBRIA BIOENGINEERING TECNOLOGIES SOCIETA A RESPONSABILITA LIMITATA
Italy
EU contribution
€ 673 062,50
Address
Via Santa Maria Della Spina 25
06081 Frazione Rivotorto
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
CLANCY HAUSSLER RITA
Austria
EU contribution
€ 282 108,75
Address
Trins 46
6152 Trins
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)