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Fraunhofer IKS

R&D Institution

www.iks.fraunhofer.de/en.htmlMünchen, Germany

About

Safe Intelligence — this forms the core brand of the Fraunhofer Institute for Cognitive Systems IKS.

Connected cognitive systems drive innovation in many sectors, including mobility, healthcare, and automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable and verifiably safe. We consider resilience and intelligence to be part of the same process.

Other enabling technologies

Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled componentsIndustry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains(Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurementRobotic / handling - and assistance systemsLife cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport

Data technologies, data ecosystems and cross-linking

(AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths(AI based) process and system control technologiesSimulation models and predictive analytics to assess the scalability of circular processes across industriesAlgorithm that shows the (positive) impact of a Circular Economy process or Circular Economy productApproaches to support SME fully exploit the value of existing CVC-related data

Representatives

Anna Guderitz

Fraunhofer IKS - Business Development

Fraunhofer IKS

Alexandre Sawczuk da Silva

Research Engineer

Fraunhofer IKS

Marketplace (1)

  • Project cooperation

    LAMP: LLM Assistant for Matrix Production

    The aim of this project is to create an LLM assistant that guides workers when adapting processes in modular production systems.

    • Early idea
    • Consortium seeks Partners
    • Data technologies | Assistance and Expert systems
    Author

    Alexandre Sawczuk da Silva

    Research Engineer at Fraunhofer IKS

    Munich, Germany