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Cloud&Heat Technologies GmbH
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    News

    Secure electronic systems using AI

    14.06.2021 - by Theresa Kambor

     

    The Federal Ministry of Economics and Energy promotes the AI-supported development of electronic systems and thus sets the course for the future

    Powerful and sustainable electronic solutions as key success factor for the mobility of the future

    On April 1st, the project progressivKI started. Supported by the Federal Ministry for Economic Affairs and Energy, 18 partners in a consortium are working on the development of a generalized AI-based design process for in-vehicle electronic systems. To optimally support and automate these processes, the use of AI methods is necessary due to the significantly increasing complexity of the system on the way to an autonomous and electrically driven vehicle. Using AI, functionally secure electronic systems could be faster, more reliable, and more cost-effective.

    A consortium which covers all the necessary components of the value chain

    Under the direction of Robert Bosch Car Multimedia GmbH, the following partners participate in the three-year project: Infineon Technologies, Zuken, Microchip Technology Germany, Celus, Luminovo, Hood, Cloud&Heat Technologies, Binder Elektronik, DIQA Projektmanagement, EMC Test NRW, InnoZent OWL e.V., as well as the Fraunhofer institutes FIT/ENAS, FZI Research Center for Information Technology, TU Dortmund, HSU Hamburg, TU Berlin and HS Hamm-Lippstadt/System Integration Laboratory.

    Cloud&Heat’s role in the project

    In the project, we are active as a cloud provider and responsible for the development of a GAIA-X compliant cloud-based AI-platform. Therefore, we will work on designing, developing, implementing, and testing a cloud platform through which different AI modules can be successfully deployed and combined. We will bring our perspective as cloud provider into the project, ensure that the GAIA-X standards are taken into account, and collaborate closely with all project partners to understand and respond the requirements along the value chain.

     

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