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  • Carbon Nanotubes: a blessing or a curse?

    Press release April 2024 / April 17, 2024

    Many decision-makers find it difficult to realistically assess the opportunities and risks of carbon nanotubes, or CNTs for short. A white paper by Fraunhofer IPA and other experts provides the necessary background – understandable even for non-experts.

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  • Easier and systematic qualification of AI applications

    Prees release October 2023 / October 09, 2023

    A new software framework is to make it easier for companies to approve or audit applications based on Artificial Intelligence (AI). The framework is being jointly developed by Fraunhofer IPA in conjunction with the Institute of Industrial Manufacturing and Management IFF at the University of Stuttgart as part of the “AIQualify” research project of the German Association for Quality (DGQ).

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  • Research project DAIOR / 2023

    Distributed artificial intelligence to improve patient care in the operating room

    Prees release October 2023 / October 02, 2023

    A research team of scientists from the Fraunhofer IPA, the Bosch Digital Innovation Hub at Bosch Health Campus and the Institute of Image-Guided Surgery (IHU) of Strasbourg has jointly launched the DAIOR project (»Distributed Artificial Intelligence for the Operating Room«). Within the framework of the project, the project partners are working on realizing the operating room (OR) of the future with help of artificial intelligence (AI) and robot assisted telemedicine. To achieve this, the research team is pursuing two directions. The first is to develop federated learning approaches to exploit surgical data from different clinical centers and build new AI-methods to support surgeries in real time. The second is to deploy cross-site AI supported, robot assisted telesurgery, even across national borders.

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  • Autonomous and robust navigation is an essential capability for agricultural robots or machines that are to reach a new level of autonomy to manoeuver safely and reliably in their environment. Fraunhofer IPA will showcase what is currently technologically and economically feasible with live demos at agritechnica, the agricultural trade fair taking place in Hanover from November 12 to 18, 2023.

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  • Research project by Trumpf, Thyssenkrupp Materials Services and Fraunhofer IPA to mitigate the climate impact of sheet metal processing. The de:karb project will create an open platform enabling companies to determine a specific component’s carbon footprint. Germany’s Federal Ministry for Economic Affairs and Climate Action (BMWK) is providing funding of 8.3 million euros.

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  • New algorithms for object recognition and environment perception have been developed at Fraunhofer IPA, enabling sophisticated automation solutions for the service and production sectors. They are a result of the “Knowledge4Retail” research project, in which twelve project partners have developed solutions for future-oriented retail.

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  • Successfully implementing tomorrow’s automation today / 2023

    In four steps from idea to application

    Press release June 2023 / June 01, 2023

    Offering companies a clear competitive advantage and making them fit to meet the challenges of the production of the future: this is the performance promise that Fraunhofer IPA will be exhibiting at the automatica trade fair from June 27 to June 30, 2023. Here, visitors will experience applications in robotics, automation, artificial intelligence and cleanroom technologies and gain new insights through regular expert sessions and “Interactive Live“ interviews.

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  • The “DeMoBat” research project came to an end in April. For this, twelve project partners developed concepts and applications for handling and reprocessing electric car components in a sustainable and economical manner. The aim here was to avoid valuable raw materials going to waste. The project was coordinated by Fraunhofer IPA, with funding provided by the Ministry of the Environment, Climate Protection and the Energy Sector Baden-Württemberg.

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  • Artificial Intelligence optimizes coffee blending

    Press release April 2022 / April 26, 2023

    Artificial Intelligence (AI) can predict and improve the desired taste, quality, or price for food products such as coffee. This is the result of a Danish-German collaboration project, in which Fraunhofer IPA tested how AI can provide computational support. The experts audited an AI application for the food industry for the first time.

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