2021

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  • The event takes place digitally. / January 14, 2021, 15:30 Uhr - 17:00 Uhr

    General Purpose Autonomous Robot for Intralogistics – A Control Perspective

    5G Kommunikation
    © iStockphoto

    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. Eric Schöneberg (Department of electrical and computer engineering at TUK, AG Görges) will speak on the topic »General Purpose Autonomous Robot for Intralogistics – A Control Perspective«.

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  • The event takes place digitally. / January 21, 2021, 10:00 – 11:00

    A Generalised Linear Model Framework for β-Variational Autoencoders based on Exponential Dispersion Families

    Diagramm Data Science
    © 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) present on »Adversarial Examples – An Introduction«.

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  • The event takes place digitally / January 27, 2021

    Virtual Informatik-Praxistag

    Also in 2021, the Association for the Promotion of Computer Science at the TU Kaiserslautern (FIT e.V.) will be organizing a practical computer science day - but digitally. At this day, experts from various companies will inform about the challenges of their work. The exhibitors will present themselves digitally in a common room and will also offer the opportunity to withdraw to a private area for individual discussions and video chats. This opens up opportunities for students to find out how they can continue their studies after graduation and shows what can be done during their studies to set the course for the future. We are also represented by teams from the »Optimization« and "High Performance Computing« departments and report on the work at our institute.

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  • Verbundenheit
    © iStockphoto

    On our technology day we demonstrate typical application examples and their efficient solution in Jurojin. Components that are exposed to mechanical loads need to be designed for real customer usage. Variability of loads and of production quality represent major challenges. Jurojin provides best availably statistical methods for durability engineers to tackle those challenges. The software provides accurate evaluations for engineers – using sophisticated statistics without requiring the user to have advanced statistics skills.

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  • Digital Event / February 05, 2021

    Digital Environmental Data for Vehicle Engineering

    Punktewolke der Trippstadterstrasse
    © Fraunhofer ITWM

    On our technology days we present selected tasks and their solution with our software. In this event, the focus is on digital environmental data for vehicle engineering. The software-suite VMC® provides all you need to analyse vehicle usage in different markets and regions, plan measurement campaigns, evaluate data and simulate vehicle loads and performance based on suitable vehicle and driver models embedded in an efficient environmental model.

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  • Digital Event / February 08, 2021

    Digital Environmental Data for Vehicle Engineering

    Punktewolke der Trippstadterstrasse
    © Fraunhofer ITWM

    On our technology days we present selected tasks and their solution with our software. In this event, the focus is on digital environmental data for vehicle engineering. The software-suite VMC® provides all you need to analyse vehicle usage in different markets and regions, plan measurement campaigns, evaluate data and simulate vehicle loads and performance based on suitable vehicle and driver models embedded in an efficient environmental model.

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  • The event takes place digitally. / February 11, 2021, 15:30 Uhr - 17:00 Uhr

    Recent Contributions on Optimal Cooperative Robot Manipulation

    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. Argtim Tika (AG Mechatronics in Mechanical and Automotive Engineering, TU Kaiserslautern) will speak on the topic »Recent Contributions on Optimal Cooperative Robot Manipulation«.

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  • Die Veranstaltung findet digital statt. / February 15, 2021 - February 17, 2021

    We Move It

    [Only available in German] An drei Nachmittagen stellen »We move it« und die Transferinitiative RLP in Zusammenarbeit mit dem Bundesministerium für Wirtschaft und Energie sowie dem Ministerium für Wirtschaft, Verkehr, Landwirtschaft und Weinbau Rheinland-Pfalz ausgewählte Förderschwerpunkte des Konjunkturpakets 35c vor. Dr. Klaus Dreßler, Bereichsleiter: »Mathematik für die Fahrzeugentwicklung«, präsentiert am 17. Februar 2021 zum Themenfeld: »Digitalisierung / Automatisiertes Fahren«.

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  • The event takes place digitally. / February 18, 2021 - January 21, 2021, 10:00 – 11:00

    Limitations of GAN's – A detailed Look at two Examples

    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 Ricard Durall Lopez (Fraunhofer ITWM, Department High Performance Computing) presents on the topic »Limitations of GAN's – A detailed Look at two Examples«.

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  • Köln / February 23, 2021 - February 25, 2021

    Filtech 2021

    Filter
    © Fotolia

    [The event has been rescheduled for March 8-10, 2022.] FILTECH is one of the largest and most important trade fairs on filtration worldwide. The exhibition is a must for anyone interested in designing, improving, acquiring, selling and researching products and services for filtration and separation. With our departments »Flow and Material Simulation« and »Transport Processes« we will be on site to inform you about our long experience in modeling and simulation of filtration and separation processes.

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  • The event takes place digitally. / February 24, 2021, 5 – 6:15 PM

    Innovation Forum – Digital Regulars' Table of the WFG Borken on the Topic of Predictive Maintenance

    Condition Monitoring und Predictive Maintenance
    © iStockphoto

    The WFG Innovation Consulting would like to give companies that have already made their first experiences with PdM or are new to this important innovation topic the opportunity to meet at the Predictive Maintenance Stammtisch. Together with our client Martin Körner (Berger Holding GmbH & Co. KG), our expert Benjamin Adrian will give a presentation on Predictive Maintenance at the digital Stammtisch of the Wirtschaftsförderungsgesellschaft Borken (WFG Borken).

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

    From Network Pruning to Network Architecture Search: A Unified Framework based on Group Sparsity

    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 Avraam Chatzimichailidis (Fraunhofer ITWM) present on »From Network Pruning to Network Architecture Search: A Unified Framework based on Group Sparsity«.

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  • The event takes place digitally. / March 04, 2021, 10:00 – 11:00

    A Deep-Learning Approach for Occlusion Detection

    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 Peter Lorenz (Fraunhofer ITWM) present on »A Deep-Learning Approach for Occlusion Detection«.

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  • virtual in Houston, Texas, USA / March 05, 2021

    14. Rice Oil and Gas High Performance Computing Conference

    Seismik
    © ITWM

    Held annually at Rice University in Houston, Texas, the Rice Oil and Gas High Performance Computing (OG-HPC) Conference is one of the premier venues for the industry to share challenges and opportunities in high-performance computing, computational science and engineering, machine learning and data science. This year, the conference will be held digitally. Our experts from the »High Performance Computing« department Norman Ettrich, Janis Keuper, Peter Labus, Ricard Durall Lopez, Philipp Reusch and Valentin Tschannen (alphabetical order) will participate in the conference. Our institute is also one of the supporting companies.

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  • Digital / March 06, 2021 - March 11, 2021

    SPIE Photonics West

    SPIE Photonics West
    © SPIE Photonics West

    The digtal version offers live plenary talks, on-demand technical presentations and discussions, online networking and special events, and a digital marketplace showcasing product demonstrations and business connections. We present several lectures.

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  • Ensuring performance, comfort and safety in harsh weather conditions and extreme driving situations is crucial for customer satisfaction and occupant safety. The Simpulse day will provide an overview of scientific approaches, latest methods and various software applications as well as best practices and industry-related use cases. Two of our experts, Jörg Kuhnert and Pratik Suchde from the department »Transport Processes« will give a presentation on the topics »MESHFREE Simulations of Water Crossing and Fluid Structure Interaction (FSI)« and »Thin Film Flow Models for Automotive Water Management«.

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  • The event takes place digitally. / March 11, 2021, 12:30 to 13:30

    ML in KL Lightning Talks: Experiences and New Approaches in the Training of Neural Networks

    Formeln Roboter KI
    © iStockphoto

    In Kaiserslautern, there is a unique collection of mathematics and computer science competencies, which are being applied in numerous research projects in areas like Machine Learning, Artificial Intelligence, and Deep Learning. The »ML in KL Lightning Talks« is an initiative of the DFKI and the ITWM that offers a new networking opportunity for researchers of all institutions in KL. The topic focus on March 11, 2021 is »Experiences and New Approaches in the Training of Neural Networks«.

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  • The event takes place digitally. / March 16, 2021 - March 18, 2021

    Introduction to MESHFREE

    Software Meshfree
    © Fraunhofer SCAI

    With MESHFREE a variaty of situations can be simulated, since it adapts efficiently to moving geometry elements such as stirrers of mixing devices or the movement of free surfaces. In the course, we give an overview of the tool and present how the software best supports your demands.

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  • Online / March 23, 2021 - March 24, 2021

    Fraunhofer-Symposium »Netzwert« 2021

    This year, the motto of Fraunhofer's largest internal networking event is »Resilience - Emerging Stronger From the Crisis«. During this digital, two-day event, around 30 current projects from Fraunhofer's preliminary research will be presented.

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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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