Dedicated hardware architectures for energy-efficient AI
The 'Dedicated hardware architectures for energy-efficient AI' call, part of the European Defence Fund (EDF), aims to revolutionize defence capabilities by fostering the development of highly efficient, secure, and compact AI processors. This initiative supports collaborative research and design activities to enhance Europe's technological autonomy and competitiveness in critical defence technologies, ensuring future AI applications for military use cases are both powerful and energy-conscious.
Who is Funded
This section outlines the eligibility criteria for the 'Dedicated hardware architectures for energy-efficient AI' funding program, focusing on the types of applicants, the geographical scope of the projects, and the overarching objectives it aims to achieve. The program primarily targets consortia within EU Member States and associated countries to bolster European defense capabilities and technological sovereignty in AI hardware.
What is Funded
This section details the types of projects, thematic areas, and activities supported by the 'Dedicated hardware architectures for energy-efficient AI' program. It specifies the eligible sectors, the developmental stages of projects, and general rules regarding covered and excluded costs, focusing on innovative AI hardware solutions for defence applications.
Type and Scope of Funding
This section provides an overview of the financial support available through the 'Dedicated hardware architectures for energy-efficient AI' program, outlining the type of financial instrument, funding rate, and the overall budget for the related call for proposals. No specific maximum funding amount per project is defined.
Conditions and Requirements
This section summarizes the essential conditions and requirements for participation in the 'Dedicated hardware architectures for energy-efficient AI' program, including application terms, consortium rules, and budget stipulations. Detailed guidelines are referenced in the official call documents.
Application Procedure
This section outlines the process for submitting proposals to the 'Dedicated hardware architectures for energy-efficient AI' program, including the submission flow, evaluation criteria, and how decisions are communicated. The call is now closed for submissions.
Legal Basis
This section identifies the foundational legal and official documents that authorize and govern the 'Dedicated hardware architectures for energy-efficient AI' funding program, ensuring transparency and adherence to established European regulations.
Similar Programs
Funding Overview
Funding Status:
Closed
Allocated Budget:
157,000,000 €
Deadline:
22.11.2023
Award Channel:
Framework Programme Call
Region:
EU Member States and EDF associated countries
Sectors:
Research and Development, Information and Communication Technology, Other
Beneficiaries:
Defence, Information and Communication Technology
Application Type:
Consortium Required
Funding Stages:
Basic Research, Applied Research, Feasibility Study, Process Optimization, Prototyping, Product Development, Pilot Testing, Experimental Development, Planning, Implementation, Infrastructure, Policy Development, Service Delivery, Capacity Building, Awareness Campaigns, Monitoring, Evaluation, Other
Funding Provider
Program Level:
European Union
Funding Body:
European Commission, DG DEFIS
Managed By:
European Commission, DG DEFIS
Additional Partners:
LEMVOS GMBH (Germany), Asociatia Obsteasca Inteligenta Artificiala in Actiune (Moldova), SYNYO GmbH (Austria), MINDS & SPARKS GMBH (Austria), AGRICLIMA CONSULTING AB (Sweden), INTERSPREAD GMBH (Austria), Flow Analysis and Simulation Team (Greece), EUROCRIME - RESEARCH, TRAINING ANDCONSULTING SRL (Italy), INSTITUTE OF HIGHER EDUCATION KING DANYLO UNIVERSITY (Ukraine), DIGI Mind Sphere (Italy), OHB HELLAS MONOPROSOPI ETAIREIA PERIORISMENIS EFTHINIS (Greece), Moptil Mon. IKE (Greece), GRANT GARANT SRO (Czechia), Johannes SCHEMMEL (Germany - Heidelberg University), SSRD, VARNOST PROGRAMSKE OPREME, RAZISKAVE IN RAZVOJ, D.O.O. (Slovenia), SISTRADE - SOFTWARE CONSULTING SA (Portugal), INGENIERIA Y SOLUCIONES INFORMATICAS DEL SUR, SOCIEDAD LIMITADA (Spain), INDEEP ARTIFICIAL INTELLIGENCE SL (Spain), The Video Valley Productora Audiovisual Motion Graphics SL (Spain), MGM STAR CONSTRUCT SRL (Romania).
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