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Open source deep learning platform dedicated to Embedded hardware and Europe

Project description

Open-source AI platform for edge computing in Europe

Key Digital Technologies play a crucial role in driving Europe’s digital sovereignty by enhancing European competitiveness in technological markets. In this context, the EU-funded NEUROKIT2E project will develop a deep learning platform for embedded hardware. The platform will be based on established European value chains and will provide AI hardware and software, enabling easy, rapid neural network design, optimization, and implementation on limited hardware targets. The aim of this platform is to streamline the exploration and development of AI applications integrated into specific hardware components from European players. As a result, NEUROKIT2E will equip Europe with the necessary tools to effectively compete with its US and Chinese counterparts.

Objective

The NEUROKIT2E project aims at proposing a Deep Learning Platform for Embedded Hardware around an established European value chain (providing AI hardware and software). This open-source platform will provide the necessary tools for Europe to play on the same level with its American and Chinese competitors, and take the lead on a competitive aspect (still underdeveloped but which will quickly prove to be essential): embedded AI. The NEUROKIT2E’s offer targets to serve European industry needs as a priority, enabling easy and fast Neural Network design, optimization and implementation on constrained hardware targets. This challenging development will be powered using N2D2 (for Neural Network Design & Deployment) platform, developed by CEA, Coordinator of NEUROKIT2E, for the exploration and development of AI applications, and embed specific hardware components from European players such as NANOXPLORE, STMICRO, , all members of the NEUROKIT2E consortium.
NEUROKIT2E will provide essential outcomes such as the end of the dependence of EU stakeholders to American and Chinese tools, the valorisation of EU hardware technologies, the benchmark of hardware and architectures before implementation to ensure the success of embedded AI in devices from energy consumption to sparse resources exploitation, the capacity to overcome the heterogeneity of components through a single, open, sovereign platform while ensuring reliability, safety, transparency. The NEUROKIT2E framework will impact on the AI landscape as the first one dedicated to embedded AI and will position EU stakeholders in this key market.
The NEUROKIT2E consortium relies on 5 EU countries active in the hardware and software activities, France, Netherlands, Austria, Germany and Italy, with a balance between private and public research: 13 private companies (4 large industries: THALES, IFAG, TTTECH AUTO AG, STMICRO; 9 SMEs: NANOEXPLORE, KOMPAI ROBOTICS, Almende, Spiki, Deepsensing, HTS, Sensity, CODA, Sorama) ; 5 RTOs (CEA, IMEC-NL, SAL, FBK, Fraunhofer) and 6 universities (FH-CAMPUS WIEN, TUD, UNICT, UNIPA, UNIME, UROS ).

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Keywords

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Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-JU-RIA - HORIZON JU Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-KDT-JU-2022-2-RIA

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Coordinator

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 819 733,34
Address
RUE LEBLANC 25
75015 Paris
France

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Region
Ile-de-France Ile-de-France Paris
Activity type
Research Organisations
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 2 342 095,25

Participants (26)

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