2 July 2024 — Researchers from the Computer Architecture – Operating Systems Group at the Barcelona Supercomputing Centre – Centro Nacional de Supercomputación (BSC-CNS) have joined EdgeAI-Trust, a three-year project co-funded by the Chips Joint Undertaking (JU) that aims to decentralise edge artificial intelligence to help transform industries such as mobility, manufacturing and agriculture.
The project, which involves 53 partners from across Europe, aims to decentralize AI to transform industries such as mobility, manufacturing and agriculture.
Launched on 1 May 2024, EdgeAI-Trust has a consortium of 53 partners from across Europe, including major suppliers, OEMs, and leading research and academic institutions. The project focuses on distributing AI processing across multiple devices to build a trusted edge AI ecosystem.
This approach leverages the diverse expertise within the consortium to drive AI advancements and highlights the important role the semiconductor industry plays in developing and deploying purpose-built chips such as AI accelerators that deliver greater scalability and lower latency.
BSC’s research will deliver AI models that meet safety requirements, including enabling explainability and traceability, and efficient platform mapping. It will leverage key results from the EU-funded projects SAFEXPLAIN and REBECCA and extend them to create AI models that meet the appropriate safety requirements, and provide software solutions to verify compliance. BSC will work with multiple members of the consortium to define and generate these AI models, efficiently map them to hardware platforms, provide platform-level safety services, and build comprehensive safety cases and concepts.
“EdgeAI-Trust provides BSC with the opportunity to test AI-related technologies in the context of complex industrial use cases, allowing us to reach a higher technology readiness level and paving the way for the exploitation of AI-related assets,” said Jaume Abella, EdgeAI-Trust Principal Investigator at BSC and co-team leader of the Computer Architecture Operating Systems research group.
EdgeAI-Trust will contribute to the implementation of the Chips JU Strategic Plan, in particular integrating trusted Edge AI technologies into complex heterogeneous components and systems. The project objectives are:
Develop reliable domain-agnostic AI architectures Create reliable and collaborative large-scale edge AI solutions Increase the reliability of edge AI solutions Develop toolchains to optimize and validate edge AI solutions Large-scale impact and economic leadership with the EdgeAI EDEM platform
About EdgeAI-Trust
EdgeAI-Trust – Decentralized Edge Intelligence: Improving Trust, Safety and Sustainability in Europe is a 36-month EU funded project that started on 1 May 2024. The project is a response to the Chips Joint Undertaking call HORIZON-KDT-JU-2023-IA-FOCUS-TOPIC-3. The project is coordinated by German partner TTTechAuto Germany and involves 53 partners, such as ZF Friedrichshafen AG, Infineon Technologies AG, Multic Labs GMBB, ASVIN GMBH, Deutsche Zentrum fur Luft und Raumfahrt EV, Universitát Siegen, Hochschule Hamm-Lippstadt, Hochschule Offenburg, TTTEch Auto AG – Austria, TTTech Computertechnik AG, AVL List GMBH, Infineon Technologies Austria AG, Virtual Vehicle Research GMBH, Stmicroelectronics Grenoble 2 SAS – French, Stmicroelectronics Rousset SAS, Zettascale Technology SARL, VRANKEN-POMMERY Prooduction, Compagnie Vranken, Technext, Commisariat AL Energie Atomique et Aus Energies Alternatives and Universite de Reims. Champagne-Ardenne, Hawaii Tech, StMicroelectronics SRL – Italy, Interactive Fully Electrical Vehicles SRL, AVIMECC SPA, Exida Development SRL, Barcelona Supercomputing Centre – Spain, TTTech Auto Spain, Technica Electronics Barcelona, Solver Machine Learning, Rapita Systems SL, Fent Innovative Software Solutions SSL, Clue Technologies SL, Polytechnic University of Valencia, Mellanox Technologies Denmark APS, Tegnology Aps, IVEX NV, SIRRIS HET Collectif Centrum Van de Technologische Industrie, Tofas Turk Otomobil Fabrikasi, AVL ARASTIRMA ve MUHENDISLIK SANAYI VE TICARET LIMITED SIRKETI, Smart Kontrol Sistemleri ve Yazilim Anonim Sirketi, Buyutech Teknoloji Sanayi ve Ticaret Anonim Sirketi, Charokopeio Panepistimio, Elliniko Mesogeiako, Panepistimio, Othon Tomoutzoglou, Smartsol sia, Velti Platforms and Services Limited, Iotam Internet of Things Applications and Multi Layer Development LTD, Intitut Jozef Stefan, Miromico, Zurcher Hochsule för angewandte Wissenschaften, Uyan Electronic.
Source: BSC-CNS
