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TEMPO SIGNED

Technology and hardware for neuromorphic computing

Total Cost €

0

EC-Contrib. €

0

Partnership

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Project "TEMPO" data sheet

The following table provides information about the project.

Coordinator
INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM 

Organization address
address: KAPELDREEF 75
city: LEUVEN
postcode: 3001
website: www.imec.be

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Belgium [BE]
 Total cost 35˙052˙209 €
 EC max contribution 10˙446˙556 € (30%)
 Programme 1. H2020-EU.2.1.1.7. (ECSEL)
 Code Call H2020-ECSEL-2018-2-RIA-two-stage-1
 Funding Scheme ECSEL-RIA
 Starting year 2019
 Duration (year-month-day) from 2019-05-01   to  2022-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM BE (LEUVEN) coordinator 2˙224˙640.00
2    COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES FR (PARIS 15) participant 2˙225˙037.00
3    FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. DE (MUNCHEN) participant 2˙224˙317.00
4    INFINEON TECHNOLOGIES AG DE (NEUBIBERG) participant 1˙269˙150.00
5    ROBERT BOSCH GMBH DE (GERLINGEN-SCHILLERHOEHE) participant 590˙000.00
6    STICHTING IMEC NEDERLAND NL (EINDHOVEN) participant 302˙750.00
7    PHILIPS ELECTRONICS NEDERLAND BV NL (EINDHOVEN) participant 280˙000.00
8    PHILIPS MEDICAL SYSTEMS NEDERLAND BV NL (BEST) participant 280˙000.00
9    ATO-gear BV NL (EINDHOVEN) participant 135˙000.00
10    UNIVERSITAT ZURICH CH (ZURICH) participant 134˙868.00
11    TECHNISCHE UNIVERSITAET DRESDEN DE (DRESDEN) participant 117˙991.00
12    INNOSENT GMBH DE (Donnersdorf) participant 115˙000.00
13    VALEO COMFORT AND DRIVING ASSISTANCE FR (CRETEIL) participant 110˙198.00
14    VALEO SCHALTER UND SENSOREN GMBH DE (BIETIGHEIM BISSINGEN) participant 104˙372.00
15    VIDEANTIS GMBH DE (HANNOVER) participant 89˙000.00
16    STMICROELECTRONICS GRENOBLE 2 SAS FR (GRENOBLE) participant 81˙628.00
17    AICTX AG CH (ZURICH) participant 80˙000.00
18    STMICROELECTRONICS CROLLES 2 SAS FR (CROLLES) participant 61˙846.00
19    THALES ALENIA SPACE FRANCE SAS FR (TOULOUSE) participant 20˙754.00

Map

 Project objective

Massive adoption of computing in all aspects of human activity has led to unprecedented growth in the amount of data generated. Machine learning has been employed to classify and infer patterns from this abundance of raw data, at various levels of abstraction. Among the algorithms used, brain-inspired, or “neuromorphic”, computation provides a wide range of classification and/or prediction tools. Additionally, certain implementations come about with a significant promise of energy efficiency: highly optimized Deep Neural Network (DNN) engines, ranging up to the efficiency promise of exploratory Spiking Neural Networks (SNN). Given the slowdown of silicon-only scaling, it is important to extend the roadmap of neuromorphic implementations by leveraging fitting technology innovations. Along these lines, the current project aims to sweep technology options, covering emerging memories and 3D integration, and attempt to pair them with contemporary (DNN) and exploratory (SNN) neuromorphic computing paradigms. The process- and design-compatibility of each technology option will be assessed with respect to established integration practices. Core computational kernels of such DNN/SNN algorithms (e.g. dot-product/integrate-and-fire engines) will be reduced to practice in representative demonstrators.

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The information about "TEMPO" are provided by the European Opendata Portal: CORDIS opendata.

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