CV Tag: University of Stuttgart

  • Engineering Intelligence – Cyber Valley at University of Stuttgart

    Engineering Intelligence – Cyber Valley at University of Stuttgart

    Cyber Valley ist Europas größte Forschungsallianz in den Bereichen Künstliche Intelligenz, Intelligente Systeme und Robotik. Als Mitgründerin prägt die Universität Stuttgart seit 2018 das Cyber Valley mit ihren besonderen Stärken in der Verbindung von Modellierung, Hardware und Künstlicher Intelligenz in integrierten cyber-physischen Systemen. Die Forschung in diesen Bereichen, beispielweise in der Intelligenten Robotik, bietet großes innovatives Potenzial. Gerade hier ist es möglich und wichtig, Grundlagenforschung mit Perspektiven der wirtschaftlichen Verwertung und der gesellschaftlichen Verantwortung zu verbinden.

    Die Veranstaltung „Engineering Intelligence – Cyber Valley at University of Stuttgart“ präsentiert Highlights und Aktivitäten am Standort Stuttgart am 29. und 30. November 2023 und fördert die weitere Vernetzung im Forschungsfeld der Intelligenten Systeme und der Künstlichen Intelligenz. An zwei Veranstaltungstagen erwartet die Teilnehmenden ein abwechslungsreiches Programm mit einer Vielzahl spannender Panels, Vorträge, Workshops, Poster Sessions und Ausstellungen, darunter:

      • Antrittsvorlesungen neuer Professorinnen und Professoren
          • Prof. Andrea Iannelli, Institut für Systemtheorie und Regelungstechnik – Mehr Informationen
      • Vorstellung des neuen Institutes für Künstliche Intelligenz (KI)
      • Einblicke in die Aktivitäten der Exzellenzcluster IntCDC und SimTech
      • Eröffnung des Transfercenters der Universität Stuttgart (TRACES)​​​​​​

    Registrierung

    Zur besseren Planung bitten wir Sie, sich bis spätestens 24. November über das Registrierungsformular für Ihre Teilnahme an der Veranstaltung “Engineering Intelligence – Cyber Valley at University of Stuttgart” anzumelden.

    Hier gehts es zur Registrierung.

    Programm

    Hier geht es zum Programmheft.

    Ort und Anfahrt

    “Engineering Intelligence – Cyber Valley at University of Stuttgart” findet am Campus Vaihingen der Universität Stuttgart statt, mit Veranstaltungen in Räumen des Gebäudes PWR 47 (Pfaffenwaldring 47) sowie dem frei[raum] (Pfaffenwaldring 45).

    Zur Entlastung der Umwelt sowie in Anbetracht der Parksituation bitten wie Sie, mit öffentlichen Verkehrsmitteln anzureisen.

    Ausgehend von Stuttgart-Mitte kann der Campus Vaihingen über die S-Bahn-Linien S1 (nach Vaihingen oder Herrenberg), S2 (nach Vaihingen oder Filderstadt) sowie S3 (nach Vaihingen oder Flughafen/Messe) erreicht werden. Ausstieg ist die Station “Universität”.

    Ausgehend vom Flughafen fahren die S-Bahn-Linien S2 (Schorndorf) und S3 (Backnang). Her ist ebenfalls “Universität” die gewünschte Haltestelle.

    PWR 47 befindet sich direkt gegenüber dem Ausgang “Universitätszentrum” der S-Bahn-Station, PWR 45 ist nur einen kurzen Fußweg entfernt:

    Lageplan Event

    Foto: OpenStreetMaps

  • Sabine Ludwigs

    Prof. Sabine Ludwigs

  • Bionic Intelligence in Cyber Valley

    Bionic Intelligence in Cyber Valley

    The new Center for Bionic Intelligence Tübingen Stuttgart (BITS) aims to optimize the interaction between humans and technical systems in a fundamentally new way.

    Scientists from the University of Stuttgart, the University of Tübingen, the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics are conducting research on intelligent bionic systems that will aid understanding and treatment of certain diseases of the central nervous system. Diagnoses will become more accurate, treatments more efficient and the illnesses more tolerable. Those affected by such disorders already use orthoses or communication aids. However, these systems cannot fully adapt themselves to the needs of the patient or the environment in order to fully compensate limitations or restore failed bodily functions. In interdisciplinary projects, BITS members develop individually tailored medical aids.

    Bionic systems can be found almost everywhere in everyday life: A Velcro fastener on a backpack is inspired by the burdock, suction cups are modeled on the form of an octopus tentacle. Both inventions are based on phenomena from the animal and plant world. Researchers at the University of Stuttgart, the University of Tübingen, the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics are taking this one step further: Their vision is to optimize interaction between humans and technical systems so that, by using various signals and intelligent physical principles, the technical system is able to provide support when humans need it. The users are in control at all times.

    "We want to push the boundaries of what has been possible until now," says Professor Syn Schmitt, BITS spokesperson at the University of Stuttgart. "With bionic systems, such as novel robotic prostheses, we aim to create new intelligent diagnostic and treatment options that offer support in everyday life for patients with physical and neurological limitations."

     

    Diagnosis and treatment: Smart, flexible and ethical

    Technical assistance systems are already being used for therapeutic purposes, but they fall far short of the efficiency and flexibility that would be required to replace missing or impaired functions, or to support the diagnosis and treatment of complex mental disorders. The scientists of the newly founded BITS are jointly researching the development of bionic systems to adapt them to meet patients' individual needs, to compensate for impaired motor function in the everyday lives of those affected, and to support diagnostic and rehabilitation procedures. Social and ethical dimensions are considered from the very beginning.

    "The goal is to develop alternatives that work perfectly for individuals," adds Professor Martin Giese, BITS spokesperson at the University of Tübingen. "Forging efficient interactions between people and technology, requires not only optimal data and information processing, but also the exploitation of intelligent physical principles in people and the technical system." 

    The challenge here is to design technical components that interact with the nervous systems and muscular apparatus in a highly efficiently way and that adapt flexibly and individually to the patient's position. "To do this, we rely on functional materials that respond to different body-specific stimuli," adds Professor Sabine Ludwigs, also a BITS spokesperson at the University of Stuttgart.

     

    Interdisciplinary collaboration: From biomedicine to robotics and computer science

    The key to success is interdisciplinary cooperation between experts from different fields, such as biomedicine, neuromechanics, materials science, soft and biorobotics, physics, electrical engineering, social science, ethics, neuroscience, and computer science. "Each and every member of our team is an expert in their field," says Schmitt. "We try to transfer all this knowledge into workable solutions that allow people to interact with technical systems on multiple levels. We believe that affected individuals will benefit from such systems, and that science will gain a better understanding of humans."

    The research work within BITS encompasses everything from robotic orthoses that function as an everyday aid for people with muscle tremors, for example, to wearable sensors to improve diagnostics for obsessive-compulsive disorders, to so-called in-body micro- and nano-robots that can transport drugs specifically to the brain or enable new forms of brain stimulation. "At BITS, we want to build on previous successes and strengthen our collaborations to permanently establish intelligent systems in medicine, treatment and rehabilitation," emphasizes Giese. 

     

    About Cyber Valley

    Cyber Valley is Europe’s largest and leading research consortium in the field of artificial intelligence (AI) and modern robotics. It has a mission and a public mandate to advocate for entrepreneurship, research, development, application, and acceptance of technologies and methods in the field of intelligent systems. The company envisions a future where the full potential of intelligent systems is leveraged for the greater good of the world. 
    The Cyber Valley Community brings together partners from science, industry, and society, along with AI researchers and entrepreneurs. The Cyber Valley GmbH is funded by the state of Baden-Württemberg and acts as the central organizer, service provider, and host for the community. While the GmbH operates from Stuttgart and Tübingen, Cyber Valley has a larger scope: As a national and European driving force, it attracts the best people from all over the world to create the future with AI.

     

    About the Center for Bionic Intelligence Tübingen Stuttgart

    At the interdisciplinary research center BITS, approximately 50 scientists have been engaged in various projects since May 2023. BITS members bring together wide-ranging expertise from a variety of disciplines, including biomedicine, neuromechanics, materials science, soft and biorobotics, physics, electrical engineering, social science, ethics, neuroscience and computer science. The research work is intended to contribute to the technical implementation of bionic systems and help to establish these in the medical sector. This will significantly reduce the ever-increasing social burden of mental and neurological disorders, as well as individual suffering. To this end, BITS combines the complementary expertise of the Universities of Stuttgart and Tübingen and the Max Planck Institutes for Intelligent Systems and Biological Cybernetics. BITS is part of Cyber Valley, Europe's largest research consortium in robotics and artificial intelligence.

    Expert Contact

    • Prof. Dr. Syn Schmitt, University of Stuttgart, Institute for Modelling and Simulation of Biomechanical Systems
    • Prof. Sabine Ludwigs, University of Stuttgart, Institute of Polymer Chemistry
    • Prof. Martin Giese, University of Tübingen, Section for Computational Sensomotorics

    About Cyber Valley

    Cyber Valley is Europe’s largest and leading research consortium in the field of artificial intelligence (AI) and modern robotics. Cyber Valley has a public mandate: As advocates for entrepreneurship, research, development, application, and acceptance of technologies and methods in the field of intelligent systems are at the forefront. The company envisions a future where the full potential of intelligent systems is leveraged for the greater good of the world.  

  • Artificial Intelligence Software Academy (AISA) Summer Festival

    More information & registration

  • SimTech2023

    SimTech2023

     

    Vom 4. bis 6. Oktober 2023 laden die Universität Stuttgart und der Exzellenzcluster EXC 20275 "Data-integrated Simulation Science" (SimTech) führende Forscher im Bereich der datenintegrierten Simulationswissenschaft zur SimTech2023-Konferenz nach Stuttgart ein. Diese neue Art der Simulation integriert verschiedene Arten von Daten, von experimentellen Daten über Simulationsergebnisse bis hin zu Metadaten, um die Effizienz und Zuverlässigkeit von Simulationen zu verbessern.

     

    Conference Webpage

     

    Topics of the conference

    The conference will cover topics such as

    • classical computational science enhanced by learning based components,
    • data-based scale bridging,
    • high performance computing,
    • numerical solvers optimized by meta-data based methods,
    • machine learning for simulation and visualization,
    • data-based (surrogate) modeling for interactive applications and control problems,
    • Bayesian approaches for uncertainty reduction and model assessment and many more.

     

    Is this conference for you?

    The conference is intended to be a major platform for promoting exchange amongst representatives of the international research community in these interdisciplinary fields, bringing together mathematicians and life scientists, engineers and chemists, computer scientists and sociologists, physicists and philosophers. In keynote lectures, renowned scientists present the latest ideas at the interface between data and simulation. With this multi-disciplinary environment, we continue to advance towards our goal at the Stuttgart Cluster of Excellence SimTech: From Multi-X Simulations and Data-Driven Approaches to Data-Integrated Simulation Science.

    We are looking forward to welcome you all in Stuttgart!

     

    Organizer:

    Professor Miriam Schulte

  • Online-Vorlesung: „Brave New Storyworlds“

    Both texts act as simulations to explore these challenges and reflect upon challenges of co-existing with emerging technologies and intelligent systems, albeit in different time periods, and adversely the consequences of these systems sharing spaces with us as humans. Ishiguro’s Klara, for instance, exemplifies the ethical concern of not being wholly accepted within her society, since she is ultimately disposed of and ends up in a landfill at the end of Klara and the Sun. Similarly, Robbie is disposed of and replaced with a better model despite saving Gloria's life. Despite his seemingly "human" characteristics, Robbie is still rejected due to technophobic fears of the machine. Reading these literary narratives as models for story-worlds / world-making also enables the reader to predict and explain both human and robotic behaviour within these social contexts. 

    Organised by the Literature and Science forum, University of Stuttgart. 

     

    More Information: bit.ly/3YS2CSz 

  • AISA Colloquium

    AISA Colloquium

    Im Rahmen des AISA Colloquium findet kommenden Mittwoch eine Veranstaltung an der Universität Stuttgart statt. AISA steht für „Artificial Intelligence Software Academy“. Im Colloquium stellen Expert:innen die neusten Entwicklungen im Bereich Künstliche Intelligenz und Software-Entwicklung vor. 

    Im Zuge der Veranstaltungsreihe hält Prof. Steffen Freitag vom KIT einen Vortrag zum Thema “Artificial Neural Networks in Structural Mechanics”. Sein Vortrag gibt einen Überblick über Anwendungen von künstlichen neuronalen Netzen.

    Weitere Informationen zu Prof. Freitags Vortrag gibt es auf der Veranstaltungsseite des AISA Colloquium. Die Veranstaltung findet in der Universitätsstr. 32, R101 statt. 

  • Research Talk: Semantic Probabilistic Layers for Neuro-Symbolic Learning

    Extending current deep learning architectures to correctly conform to prior knowledge and capture symbolic constraints while guaranteeing their satisfaction is a big open problem. Doing so would benefit many structured-output prediction (SOP) tasks in machine learning such as predicting rankings, hierarchies and other structured objects. In this talk, I will discuss how we can design a predictive layer for SOP that guarantees its predictions to be consistent with a set of predefined symbolic constraints. This Semantic Probabilistic Layer (SPL) can act as a drop-in replacement of existing predictive layers while still being amenable to end-to-end learning via exact maximum likelihood. SPLs combine exact probabilistic inference with logical reasoning in a clean and modular way via probabilistic circuits. We empirically demonstrate that SPLs outperform other neuro-symbolic approaches in terms of accuracy on challenging SOP tasks including hierarchical multi-label classification, pathfinding and preference learning, while retaining perfect constraint satisfaction.

     

    Antonio Vergari is a Lecturer (Assistant Professor) in Machine Learning at the University of Edinburgh. His research focuses on efficient and reliable machine learning in the wild; tractable probabilistic modeling and combining learning with complex reasoning. He recently was awarded an ERC Starting Grant on automating probabilistic reasoning for trustworthy ML. Previously he was postdoc in the StarAI Lab lead by Guy Van den Broeck at UCLA. Before that he did a postdoc at the Max Planck Institute for Intelligent Systems in Tuebingen in the Empirical Inference Department of Bernhard Schoelkopf. He obtained a PhD in Computer Science and Mathematics at the University of Bari, Italy. He likes to tease and challenge the probabilistic ML community at large on how we desperately need reliable ML an AI models nowadays. To this extent, he organized a series of tutorials, workshops, seminars and events at top ML and AI venues such as UAI, ICML, AAAI, IJCAI and NeurIPS and last year a Dagstuhl Seminar.

  • Data Paradoxes: The Politics of Intensified Data Sourcing in Contemporary Healthcare

    Data Paradoxes: The Politics of Intensified Data Sourcing in Contemporary Healthcare

    Der Vortrag ist auf Englisch und findet am 14. November 2022, von 14:00 bis 15:30 Uhr im Herdweg 51, Raum 51.01 statt.

    In contemporary healthcare, everybody seems to want more data, of higher quality, on more people, and to use this data for a wider range of purposes. In theory, such pervasive data collection should lead to a healthcare system in which data can quickly, efficiently, and un­ambi­guously be interpreted and pro­­vide better care for patients, more efficient administration, en­hanced options for re­search, and accel­erated economic growth. In practice, however, data are difficult to interpret and the many pur­poses often un­der­mine one another. Focusing on Denmark, a world leader in health­care data infra­structures, Klaus Hoeyer shares the perspec­tives of differ­rent stakeholders, from epidemiologists to hospital mana­gers, from patients to physicians, analyzing the social dynamics set in motion by data intensi­fication and calling special atten­tion to that which cannot be easily coded in a database.