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Technology and hardware for neuromorphic computing

Technology and hardware for neuromorphic computing

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.

Coordinator

INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM

Address

Kapeldreef 75
3001 Leuven

Belgium

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 2 224 640,69

Participants (18)

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COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES

France

EU Contribution

€ 2 225 037,68

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

Germany

EU Contribution

€ 2 224 317,38

STICHTING IMEC NEDERLAND

Netherlands

EU Contribution

€ 302 750

VALEO COMFORT AND DRIVING ASSISTANCE

France

EU Contribution

€ 110 198

STMICROELECTRONICS CROLLES 2 SAS

France

EU Contribution

€ 61 846,56

THALES ALENIA SPACE FRANCE

France

EU Contribution

€ 20 754,69

PHILIPS ELECTRONICS NEDERLAND B.V.

Netherlands

EU Contribution

€ 280 000

STMICROELECTRONICS GRENOBLE 2 SAS

France

EU Contribution

€ 81 628,13

KORTIQ GMBH

Germany

EU Contribution

€ 89 000

ATO-gear BV

Netherlands

EU Contribution

€ 135 000

TECHNISCHE UNIVERSITAET DRESDEN

Germany

EU Contribution

€ 117 991,13

ROBERT BOSCH GMBH

Germany

EU Contribution

€ 590 000

INFINEON TECHNOLOGIES AG

Germany

EU Contribution

€ 1 269 150,94

INNOSENT GMBH

Germany

EU Contribution

€ 115 000

UNIVERSITAT ZURICH

Switzerland

EU Contribution

€ 134 868,56

VALEO SCHALTER UND SENSOREN GMBH

Germany

EU Contribution

€ 104 372,73

AICTX AG

Switzerland

EU Contribution

€ 80 000

PHILIPS MEDICAL SYSTEMS NEDERLAND BV

Netherlands

EU Contribution

€ 280 000

Project information

Grant agreement ID: 826655

Status

Ongoing project

  • Start date

    1 May 2019

  • End date

    30 April 2022

Funded under:

H2020-EU.2.1.1.7.

  • Overall budget:

    € 35 076 959,75

  • EU contribution

    € 10 446 556,49

Coordinated by:

INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM

Belgium