Project description DEENESFRITPL 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. Show the project objective Hide the project objective Objective The goal of RadioSpin is to build a hardware neural network that computes using neural dynamics as in the brain, has a deep layered architecture as in the neocortex, but runs and learns faster, by seven orders of magnitude. For this purpose, we will use ultrafast radio-frequency (RF) oscillators to imitate the rich, reconfigurable dynamics of biological neurons. Within the RadioSpin project, we will develop a new breed of nanosynapses, based on spintronics technology, that directly process the RF signals sent by neurons and interconnects them layer-wise. We will demonstrate and benchmark our concept by building a lab-scale prototype that co-integrates for the first time CMOS RF neurons with spintronic RF synapses. We will develop brain-inspired algorithms harnessing oscillations, synchrony and edge-of-chaos for computing and show that they can run on RadioSpin deep network RF technology. Finally, we will benchmark RadioSpin technology for biomedical and RF fingerprinting applications where fast and low energy consumption classification of RF signals are key. To achieve its ambitious goals RadioSpin brings together frontier researchers along the entire chain of neuromorphic engineering, from material science (spintronic nanodevices), physics (non-linear dynamics), electronics (RF CMOS design), computer science (artificial intelligence algorithms), and microwave signal processing. Two innovative companies bring real-life use-cases (microwave mammography and IoT RF fingerprinting). The scientific experts are further complemented by experts in the field of innovation, commercial deployment and IP monetisation, as well as communication and public engagement. Fields of science engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradio frequencynatural sciencescomputer and information sciencesinternetinternet of thingsengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processingnatural sciencesphysical scienceselectromagnetism and electronicsspintronicsnatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Programme(s) H2020-EU.1.2. - EXCELLENT SCIENCE - Future and Emerging Technologies (FET) Main Programme H2020-EU.1.2.2. - FET Proactive Topic(s) FETPROACT-09-2020 - Neuromorphic computing technologies Call for proposal H2020-FETPROACT-2018-2020 See other projects for this call Sub call H2020-FETPROACT-2020-01 Funding Scheme RIA - Research and Innovation action Coordinator UNIVERSITE DE BORDEAUX Net EU contribution € 833 045,75 Address Place pey berland 35 33000 Bordeaux France See on map Region Nouvelle-Aquitaine Aquitaine Gironde Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,13 Participants (6) Sort alphabetically Sort by Net EU contribution Expand all Collapse all 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 See on map Region Nouvelle-Aquitaine Aquitaine Gironde Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,20 CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS France Net EU contribution € 611 510,00 Address Rue michel ange 3 75794 Paris See on map Region Ile-de-France Ile-de-France Paris Activity type Research Organisations Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 LABORATORIO IBERICO INTERNACIONAL DE NANOTECNOLOGIA LIN Portugal Net EU contribution € 726 562,50 Address Avenida mestre jose veiga 4715-330 Braga See on map Region Continente Norte Cávado Activity type Research Organisations Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 THALES France Net EU contribution € 681 172,50 Address Tour carpe diem place des corolles esplanade nord 92400 Courbevoie See on map Region Ile-de-France Ile-de-France Hauts-de-Seine Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 UMBRIA BIOENGINEERING TECNOLOGIES SOCIETA A RESPONSABILITA LIMITATA Italy Net EU contribution € 673 062,50 Address Via santa maria della spina 25 06081 Frazione rivotorto See on map 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) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 CLANCY HAUSSLER RITA Austria Net EU contribution € 282 108,75 Address See on map Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00
