2021

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  • The event takes place digitally. / March 25, 2021, 10:00 – 11:00

    Climate, AI and What to Get Done in a Hackathon

    Green by IT
    © iStockphoto

    The Deep Learning Seminar is organized by employees from the field »Data Analysis and Machine Learning« in the department »High Performance Computing«. It is intended to give interested persons an insight into this large field of research and a deeper understanding. Everyone who wants to learn more about Deep Learning, Machine Learning or AI in general is invited. The event takes place regularly on Thursdays. This week our speaker Paula Harder (Fraunhofer ITWM, Department High Performance Computing) reports about the »AI for Climate Hackathon« under the headline »Climate, AI and What to Get Done in a Hackathon«. She won with her team at »The Forest Fire Challenge«.

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  • Digital / April 12, 2021 - April 16, 2021

    HANNOVER MESSE – Digital Edition 2021

    HMI 2021 Fraunhofer ITWM Quantencomputing
    © Fraunhofer

    HANNOVER MESSE Digital Edition is the knowledge and networking platform for the manufacturing, energy and logistics industries. From AI and robotics to automation technology, logistics IT and industrial software to batteries and fuel cells: Under the guiding theme "Industrial Transformation", industry thought leaders present their technologies and ideas for the factories, energy systems and supply chains of the future. We will be part of the Fraunhofer-Live-Streaming Day with expert sessions and talks on quantum computing and quantum technology.

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  • The event will take place digitally. / April 13, 2021 - April 15, 2021

    ECMI 2021

    The European Consortium for Mathematics in Industry (ECMI) conference series is dedicated to strengthening the interaction between academia and industry, leading to innovation in both fields. These events have attracted leading experts from business, academia, and science, and have promoted the application of new mathematical technologies in industry. Some of our experts are also participating in the digital conference this year.

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  • The event takes place digitally. / April 14, 2021, 16:00 Uhr - 17:00 Uhr

    Robot Control and Identification with Elastic Joints

    The seminar KL-Regelungstechnik (Kaiserslautern – Control Theory and Control Engineering) is organized by our department System Analysis, Prognosis and Control as well as several research groups of the TU Kaiserslautern. onas Weigand (AG Machine tools and control systems, TU Kaiserslautern) will speak on the topic »Robot Control and Identification with Elastic Joints«.

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  • Digital / April 21, 2021

    Ergebniskonferenz des Hightech-Forums 2021

    HMI 2021 Fraunhofer ITWM Quantencomputing
    © Fraunhofer

    [only available in German] zusammen.wachsen.gestalten – unter diesem Motto treffen sich am 21. April spannende Persönlichkeiten und Innovationsbegeisterte aus ganz Deutschland. In einer interaktiven Live-Show werden Highlights und aktuelle Trends aus Technologie, Innovation und Forschung in den Mittelpunkt gerückt. Das Hightech-Forum stellt seine wichtigsten Empfehlungen für eine künftige Innovationsstrategie der Bundesregierung vor und übergibt sie an die Bundesforschungsministerin Anja Karliczek. Auch wir tragen im Showcase über Quantentechnologie zum umfangreichen Programm bei.

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  • The event takes place digitally. / April 22, 2021, 10:00 – 11:00

    Representation of Categorical Variables for Machine Learning Based Anomaly Detection Using Embeddings

    Simulation von Deep-Learning-Modellen, TensorQuant
    © iStockphoto

    The Deep Learning Seminar is organized by employees from the field »Data Analysis and Machine Learning« in the department »High Performance Computing«. It is intended to give interested persons an insight into this large field of research and a deeper understanding. Everyone who wants to learn more about Deep Learning, Machine Learning or AI in general is invited. The event takes place regularly on Thursdays. This week our speaker Malte Silbernagel (Fraunhofer ITWM, Department of Financial Mathematics) reports on his bachelor's thesis under the heading »Representation of Categorical Variables for Machine Learning Based Anomaly Detection Using Embeddings«.

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  • digital / April 22, 2021 - April 23, 2021

    15. Freiburger Symposium 2021

    The aim of this biennial conference is to provide regular professional development and networking opportunities for members and other interested chemists involved in process development and production. The event is organised by the SCS Division of Industrial & Applied Chemistry (DIAC). Our Head of Department »Optimisation – Technical Processes« Michael Bortz will be there digitally with a presentation.

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  • Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM, Fraunhofer-Platz 1, 67663 Kaiserslautern / April 26, 2021 - April 30, 2021

    MINT-EC-Girls-Camp: Math-Talent-School

    [only available in German] Die Math-Talent-School richtet sich an Mathematik-begeisterte Schülerinnen, die Einblicke in die Berufswelt von Mathematikerinnen und Mathematikern bekommen möchten. Vor allem an diejenigen, die genauer wissen wollen, was »angewandte Mathematik« ist und Lust haben, sich mit anderen Mathematik-Interessierten auszutauschen. Hier haben die Schülerinnen die Möglichkeit, in Workshops und mit individueller Betreuung praktische Erfahrung zu sammeln.

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  • The event takes place digitally. / April 28, 2021 - April 29, 2021

    Hanser Tagungen – Mobile Machines

    Machine Learning for Production
    © iStockphoto

    The 7th Mobile Machines – Automation and Connectivity for Off-Highway Vehicles conference will provide a practical update on the challenges and solution approaches for driver and machine assistance, safety & security and data management for off-highway vehicles. This year, one of our experts, Dr. Christian Salzig, will contribute a presentation on the topic »In the fast lane with the digital twin«.

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  • Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM/ digital / May 04, 2021 - May 05, 2021

    Datenanalyse und Maschinelles Lernen in der Fahrzeugentwicklung

    [only available in German] Die Verfügbarkeit von reichhaltigen Fahrzeugdaten nimmt seit Jahren stark zu – einerseits existieren historische Datensätze aus durchgeführten Messkampagnen und Flottenbeobachtungen, andererseits zeichnen moderne Fahrzeuge im Kundenbetrieb immer mehr Fahrdaten auf. Ziel dieses Seminar ist es, grundlegende Methoden, Verfahren und Techniken aus den Bereichen Datenanalyse und Maschinelles Lernen zu vermitteln und anhand ausgewählter Beispiele aufzuzeigen, wie diese den Fahrzeugentwicklungsprozess verbessern können.

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