AIMS5.0 – Artificial Intelligence in Manufacturing leading to Sustainability and Industry 5.0
Project Description
AIMS5.0 aims at European digital sovereignty in comprehensively sustainable production, by adopting, extending, and implementing AI tools & methods and chip technology across the whole industrial value chain to further increase overall efficiency.
In essence, the project will deliver:
- AI-enabled electronic components & systems for sustainable production
- AI tools, methods & algorithms for sustainable industrial processes
- SoS-based architectures & micro-services for AI-supported sustainable production
- Semantic modelling & data integration for an open access productive sustainability platform
- Acceptance, trust & ethics for industrial AI leading to human-centered sustainable manufacturing.
20 use cases in 10 industrial domains resulting in high TRLs will validate the project’s findings in an interdisciplinary manner. A professional dissemination, communication, exploitation, and standardization will ensure the highest impact possible.
AIMS5.0 will result in lower manufacturing costs, increased product quality through AI-enabled innovation, decreased time-to-market and increased user acceptance of versatile technology offerings. Those technologies will foster a sustainable development, in an economical, ecological, and societal sense, act as enablers for the Green Deal and push the industry towards Industry 5.0.
The innovations will leverage the experience of the 52 partners, such as renowned OEMs, Tier-1 and Tier-2 suppliers, large enterprises in the areas of technology and application, and SMEs, supported by academic research specialists in fields like AI, industrial hardware and software, decision making and management algorithms.
AIMS5.0 is a pan-European initiative to boost industrial competitiveness through interdisciplinary innovations, establishing sustainable ECS value chains and therefore contribute to European Digital Sovereignty addressing urgent issues like security of supply, monitoring and crisis response, and chip shortage. The AIMS5.0 project provides a unique balance between a new generation of technological solutions and highly skilled working environments for (autonomous) production. Thus, laying the ground for reaching the next intelligent level of AI-supported operation.
©right image: TTTech & RSA
The project AIMS5.0 is supported by the Chips Joint Undertaking and its members, including the top-up funding by National Funding Authorities from involved countries under grant agreement no. 101112089.
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The AIMS5.0 consortium in Austria consists of 9 partners including TTTech Industrial Automation AG and TTTech Computertechnik AG. Our focus in the project is on the development and integration of the cloud-based edge computing platform, Nerve, enabling the AI model’s deployment and execution at the edge to ensure real-time data communication, and scheduling optimization. Nerve will be used, for instance, as an IIoT platform for collecting data to feed training models as well as a distribution method for deployment of ML algorithms and custom code. This industrial edge computing platform delivers openness and flexibility to support companies, especially SMEs and startups, to avoid vendor lock-in and contribute to interoperability in the digitalization tasks. TTTech is leading the use case “AI-supported Industrial IoT for Indoor Food Production” together with Research Studios Austria, the Austrian Institute of Technology, Gdansk University of Technology and the SME ZelosPlant indoor solutions GmbH, which specializes in indoor farming solutions. In addition to all existing advantages of indoor farming (reducing water consumption, energy, pesticides, etc.), thanks to the proposed use case the plant yield is expected to improve due to the integration of edge computing and AI technological solutions which allow for automated control of growing plants and optimizing their quality.
Download poster: UC11 - AI-supported Industrial IoT for Indoor Food Production
Anna Ryabokon anna.ryabokon@tttech.com
Francesca Flamigni francesca.flamigni@tttech.com
