Project description DEENESFRITPL Reservoirs of nanomagnets may boost processing power Computing power struggles to keep up with analysis demands as data generation keep increasing exponentially. Realizing new platforms for massively parallel data processing, where large amounts of data are processed 'all at once' rather than piece-by-piece, is key to closing this gap. Now, SpinENGINE is combining two cutting-edge concepts, reservoir computing and nanomagnet ensemble dynamics, to realise this vision. Reservoir computing utilises a reservoir with highly nonlinear dynamics that projects input signals onto high-dimensional spaces and use simple linear processing techniques to extract an output. SpinENGINE is using the emergent and tuneable nonlinear interactions in nanomagnet ensembles as the reservoir to create a new massively parallel, computational device. Show the project objective Hide the project objective Objective The SpinENGINE project will lay the foundations for a new, massively parallel, computational platform based on emergent behaviour in large nanomagnet ensembles. The project will develop an efficient, highly scalable, and easily reproducible platform meeting the data analysis challenges in our increasingly data-rich society. We will build upon our recent discoveries and use complex, nonlinear, and highly tunable interactions in such ensembles to realize a hardware platform for “Reservoir Computing”, a biologically-inspired computational approach. Our critical hypothesis is that the synergies between the inherent properties of nanomagnet ensembles and those required for reservoir computing will enable the efficient creation of a highly adaptive computational platform for the analysis of complex, dynamic data sets. This has the potential to greatly outperform current approaches using conventional CMOS hardware. SpinENGINE will bring together a multidisciplinary team of researchers with expertise in computer science, condensed matter physics, material science, computational modelling, and high-resolution microscopy. This will enable us to simultaneously explore the fundamental behaviours of nanomagnet ensembles and understand how these can be harnessed for useful computation. By the end of the project, we aim to fabricate a proof-of-concept device capable of solving pattern recognition and classification problems, and, in collaboration with our industrial partner, IBM, produce a roadmap to the further scaling and commercialization of our computational platform. Success in the SpinENGINE project will have vast implications for data analysis at all scales, ranging from low power computation in the simplest sensor node to accelerated data processing in the most complex supercomputer. Fields of science natural sciencesphysical sciencescondensed matter physicsnatural sciencesphysical sciencesopticsmicroscopynatural sciencescomputer and information sciencesartificial intelligencepattern recognitionengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwaresupercomputersnatural sciencescomputer and information sciencesdata sciencedata processing Keywords Emergent properties Unconventional computing Spin ice systems Domain Wall logic Reservoir Computing Programme(s) H2020-EU.1.2. - EXCELLENT SCIENCE - Future and Emerging Technologies (FET) Main Programme H2020-EU.1.2.1. - FET Open Topic(s) FETOPEN-01-2018-2019-2020 - FET-Open Challenging Current Thinking Call for proposal H2020-FETOPEN-2018-2020 See other projects for this call Sub call H2020-FETOPEN-2018-2019-2020-01 Funding Scheme RIA - Research and Innovation action Coordinator NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU Net EU contribution € 831 495,00 Address HOGSKOLERINGEN 1 7491 Trondheim Norway See on map Region Norge Trøndelag Trøndelag 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 Total cost € 831 495,00 Participants (4) Sort alphabetically Sort by Net EU contribution Expand all Collapse all THE UNIVERSITY OF SHEFFIELD United Kingdom Net EU contribution € 594 961,00 Address FIRTH COURT WESTERN BANK S10 2TN Sheffield See on map Region Yorkshire and the Humber South Yorkshire Sheffield 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 Total cost € 594 961,25 UNIVERSITEIT GENT Belgium Net EU contribution € 607 150,00 Address SINT PIETERSNIEUWSTRAAT 25 9000 Gent See on map Region Vlaams Gewest Prov. Oost-Vlaanderen Arr. Gent 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 Total cost € 607 150,00 EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH Switzerland Net EU contribution € 392 177,50 Address Raemistrasse 101 8092 Zuerich See on map Region Schweiz/Suisse/Svizzera Zürich Zürich 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 Total cost € 392 177,50 IBM RESEARCH GMBH Switzerland Net EU contribution € 576 042,50 Address SAEUMERSTRASSE 4 8803 Rueschlikon See on map Region Schweiz/Suisse/Svizzera Zürich Zürich 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 Total cost € 576 042,50
