Project description
Building the AI foundations for innovative hardware and software
Edge computing is creating new possibilities in Internet of Things (IoT) applications. To create the AI foundations for future products in the edge IoT domain, the EU-funded ANDANTE project aims to leverage innovative IC (integrated circuits) accelerators based on artificial and spiking neural networks in order to build strong hardware and software platforms for application developments. Moreover, the resulting IoT devices will combine extreme power efficiency with robust neuromorphic computing capabilities. By achieving efficient cross-fertilisation between major European foundries, chip designers, system houses, application companies and research partners, the project will build and expand the European ecosystem around the definition, development, production and application of neuromorphic ICs. The project’s work will promote innovative hardware and software deep-learning solutions for future IoT at the edge products that combine extreme power efficiency as well as robust and powerful cognitive computing capabilities.
Objective
The fundamental goal of the ANDANTE project is to leverage innovative hardware platforms to build strong hardware / software platforms for artificial neural networks (ANN) and spiking neural networks (SNN) as a basis for future products in the Edge IoT domain, combining extreme power efficiency with robust neuromorphic computing capabilities and demonstrate them in key application areas.
The main objective of ANDANTE is to build and expand the European eco-system around the definition, development, production and application of neuromorphic hardware through an efficient cross-fertilization between major European foundries, chip design, system houses, application companies and research partners, as presented by the European Leader Group (ELG).
The project brings together world class expertise to bring the world class expertise and infrastructures of Imec, CEA and FhG together with semiconductor companies, fabless, system houses, SMEs and application experts to explore and demonstrate the capabilities provided by the developed technologies. In the project, several applications will be assessed in key domains where Europe is strong (automotive, digital farming, digital industry, mobility and digital life). The aim is to reinforce and maintain strong leadership in these areas by bringing industry in contact with future memory technologies at a low TRL level (MRAM, OXRAM, FeFET). These cross-disciplinary efforts will lead to development of innovative hardware / software deep learning solutions, based on high TRL level RRAM/PCM and FeFET, to enable future products which combine extreme power efficiency with robust cognitive computing capabilities. This new kind of computing technology, combining ANN and SNN capabilities, will open new perspectives, for instance, environmental monitoring, and wearable electronics.
Fields of science
- natural sciencescomputer and information sciencesinternetinternet of things
- natural sciencescomputer and information sciencessoftware
- natural sciencesphysical scienceselectromagnetism and electronicssemiconductivity
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Keywords
Programme(s)
Topic(s)
Call for proposal
H2020-ECSEL-2019-2-RIA-two-stage
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H2020-ECSEL-2019-2-RIA
Funding Scheme
RIA - Research and Innovation actionCoordinator
38000 Grenoble
France
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Participants (30)
75015 PARIS 15
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38920 Crolles
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33402 Talence
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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.
33175 Gradignan
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92190 MEUDON
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75008 Paris
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3001 Leuven
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85579 Neubiberg
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74321 Bietigheim Bissingen
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80686 Munchen
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82008 Unterhaching
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91054 Erlangen
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01069 Dresden
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01109 Dresden
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
01099 Dresden
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
5684 PC Best
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5656 AG Eindhoven
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5656 AE Eindhoven
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1016DP AMSTERDAM
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1000 029 LISBOA
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2070 158 Cartaxo
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2600-645 Castanheira Do Ribatejo
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2135-015 Samora Correia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
8050 Zurich
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2000 Neuchatel
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8006 Zurich
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28042 Madrid
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36214 VIGO
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15706 Santiago De Compostela
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15895 Milladoiro - Ames
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.