User Group: Journalist

  • Cyber Valley Impulse on govtech and cybersecurity

    Cyber Valley Impulse on govtech and cybersecurity

    This edition of Cyber Valley Impulse focuses on govTech and cybersecurity. Experts from research, industry, the public sector, and the innovation ecosystem will exchange insights on how AI-driven technologies can strengthen digital governance, enhance public services, and improve cybersecurity resilience.

    As part of the Cyber Valley Impulse event series, this edition highlights applications of intelligent systems in government technology and cybersecurity. Advances in artificial intelligence, machine learning, and data-driven approaches are reshaping public services, digital governance, and cybersecurity, creating new opportunities for secure, efficient, and citizen-centric innovation.

    The event provides a platform for knowledge exchange, discussion, and networking between academia, industry, and the innovation ecosystem.

    What to expect

    • Insights into current developments and challenges in AI for health and life sciences.
    • A science marketplace to showcase emerging AI projects in the field.
    • Exchange between researchers, industry practitioners, and innovators.
    • Opportunities for collaboration and community building within the region.
    • Informal networking with experts and stakeholders.

    Program

    A detailed agenda, speakers, and session format will be announced soon.

  • Last month at Cyber Valley

    Last month at Cyber Valley

    There was a lot going on at Cyber Valley last month. Here’s a quick rundown of our highlights:

    On March 4, we had the pleasure of welcoming journalists from across Europe to Cyber Valley Tübingen. The program, organized in collaboration with the Deutsch-Französisches Institut in Ludwigsburg, offered a fantastic overview of the research, innovation, and collaboration happening across the Cyber Valley Innovation Campus. The afternoon kicked off with inputs from Florian K. Mayer (CEO of Cyber Valley GmbH), Tobias Leismann (Managing Director at ELLIS Institute Tübingen), and Philipp Hennig (Director at Tübingen AI Center). Christoph Koch, former “Journalist in Residence”, gave insights into the Journalist in Residence Program, followed by pitches from the Cyber Valley Start-up Network: Laura Neusser (Chief Communication Officer at Optocycle) and Anand Waghmare (CEO and Co-Founder of Yugen Space). The afternoon was rounded off by lab visits from Tsvetelina Alexiadis and Michael Muehlebach at the Max Planck Institute for Intelligent Systems, as well as Martin Kiefel, Co-Founder of polybot.

    Photo: Cyber Valley

    On March 17, the Cyber Valley Impulse series began, focusing on AI in Mobility and Aerospace. Researchers, start-ups, corporates, and investors met at the Max Planck Institute for Intelligent Systems in Stuttgart to discuss vision-based perception for aerial robots, AI in aerospace systems, automated driving, and new funding opportunities in mobility technologies. Speakers included: Aamir Ahmad (University of Stuttgart), Thilo Zimmermann (Innovation Campus Future Mobility), Zamira Daw Perez (Institute of Aircraft Systems), Ulrike Weinrich (FKFS Research Institute for Automotive Engineering and Powertrain Systems), Anand Waghmare (Yugen Space), and Frederik Boenke (NUVUS).

    Photo: Cyber Valley

    On March 19, we were delighted to welcome representatives from IPAI and IPAI Foundation at Cyber Valley in Tübingen for an exchange on future collaboration opportunities. It was a pleasure to host Jana Strattner, Tamara Pyter, and Sofia Willhauk—three driving forces behind IPAI’s mission to build a vibrant ecosystem for applied artificial intelligence. 

    By aligning strengths and working together, we can create even greater value for the ecosystem as a whole in Baden-Württemberg—reflecting a responsible approach that also considers the social and ethical implications of AI. The exchange highlighted our common goals: accelerating the transfer of AI research into applications, strengthening networks, and building meaningful collaborations across regions. Through this collaboration, we aim to build bridges between research, society, and industry to create a vibrant ecosystem for applied AI in Baden-Württemberg.

    Photo: Cyber Valley

    On March 27, representatives from “Tourismus und Stadtmarketing Tübingen GmbH” visited Cyber Valley in Tübingen. Tübingen’s tour guides and Stocherkahn operators were given an introduction to the Cyber Valley Innovation Campus. After an overview presentation, our guests joined a guided tour through the campus in Tübingen. At Cyber Valley, our mission is to turn AI and robotics research into real-world solutions that benefit people, industry, and society. An important part of that is engaging with the public and opening our doors to the community. 

    That’s why we are excited to launch our upcoming Campus Tours in Tübingen, where everyone will be welcome to explore the campus and learn more about the research happening here. Dates will be announced soon.

    Photo: Cyber Valley

    On March 30, we welcomed members of the European Parliament Ilhan Kyuchyuk, Axel Voss, Brando Benifei, and Anze Erbeznik to Cyber Valley in Stuttgart for an engaging exchange on Europe’s evolving AI landscape. Together with Regina Ammicht Quinn and Jessica Heesen from the International Center for Ethics in the Sciences and Humanities at Eberhard Karls Universität Tübingen, as well as Florian K. Mayer, CEO of Cyber Valley GmbH, they discussed key developments shaping Europe’s AI ecosystem. Topics included European AI legislation and the EU Artificial Intelligence Act, the ethical implications of AI, digital autonomy, and questions surrounding our digital afterlife.  

    Photo: Cyber Valley
  • Soft-Sensing Interfaces with Multifunctional Smart Materials

    Overview

    Led by Ardian Jusufi, this project investigated how biology and biomechanics can inform the design of soft robotic systems. Its goal was to develop flexible, stretchable, and potentially biocompatible materials that can sense deformation, pressure, and movement while adapting to complex surfaces.

    The research combined soft sensors, hydrogel actuators, and bio-inspired robot designs. It also used robophysical models—simplified physical robots that allow researchers to test how biological bodies move and interact with their environment. The project concluded in February 2023.

    Key results

    • Developed flexible and stretchable sensors for measuring strain, pressure, curvature, and body deformation.
    • Improved pressure sensing in situations where the sensor itself is stretched, addressing the trade-off between sensitivity, robustness, and durability.
    • Created multilayer hydrogel actuators with improved strength, stretchability, and fluidic performance.
    • Integrated soft sensors into bio-inspired robots, including an underwater robotic fish, to measure body movement and provide feedback during locomotion.
    • Used soft robotic fish and animal-inspired robots to study swimming, obstacle traversal, tail movements, mass distribution, and landing stability.
    • Demonstrated that soft sensors can measure body undulation and support closed-loop control, allowing a robotic fish to respond to changing flow conditions.
    • Used biorobotic models to test biological hypotheses, including how squirrels use their tails to reorient themselves during falls and how geckos use their tails to stabilise crash landings.

    Why it matters

    Soft robots can deform, absorb impacts, and adapt to their surroundings more easily than rigid machines. Sensors that stretch and move with a robot are therefore essential for reliable control and for measuring the robot’s interaction with its environment.

    This research contributes to more adaptable soft robots, wearable and skin-like sensors, underwater systems, and bio-inspired machines. It also shows how soft robotics can function as a scientific tool: robotic models make it possible to measure forces and movements that are difficult to study directly in living animals.

    Publications and output

    • Souri H, Banerjee H, Jusufi A, Radacsi N, Stokes A, Park I, Sitti M, Amjadi M. Advanced Int. Sys. 2 (8) 2000039. Wearable and Stretchable Strain Sensors: Materials, Sensing Mechanisms, and Applications. 2020. Advanced Intelligent Systems, Volume: 2, Issue: 8, 2020. DOI: https://doi.org/10.1002/aisy.202000039
    • Banerjee H, Kalairaj MS, Ren H, and Jusufi A*. Advanced Engineering Materials. Strong, Ultrastretchable Hydrogel-Based Multilayered Soft Actuator Composites Enhancing Biologically Inspired Pumping Systems. [Cover inside] Adv. Eng. Mater 2021, 23, 2100121. 
    • Wright B, Vogt D, Wood R, Jusufi A*. IEEE International Conference on Soft Robotics (RoboSoft). Soft Sensors for Curvature Estimation under Water in a Soft Robotic Fish. COEX, Seoul, Korea, 2019.
    • Siddall R, Fukushima T, Bardhi D, Perteshoni B, Morina A, Hasimja E, Dujaka Y, Haziri G, Martin L, Banerjee H, Jusufi A*. Advanced Robotics 35 (7). Compliance, Mass Distribution and Contact Forces in Cursorial and Scansorial Locomotion with Biorobotic Physical Models. 2021. https://www.tandfonline.com/doi/full/10.1080/01691864.2021.1887760.
    • Fukushima Toshihiko, Robert Siddall,Fabian Schwab, Severine Toussaint, Greg Byrnes, John Nyakatura, and Ardian Jusufi. Inertial tail effects during righting of squirrels in unexpected falls: From behavior to robotics. Integrative and Comparative Biology, icab 023, 2021.
    • Lin Yu-Hsiang, Siddall R, Schwab F, Fukushima T, Banerjee H, Youngjoon Baek, Daniel Vogt, Yong-Lae Park, and Jusufi A. Modeling and control of a soft robotic fish with integrated soft sensing. Advanced Intelligent Systems, 2000244, 2021.
    • Fabian Schwab, Elias T Lunsford, Taehwa Hong, Fabian Wiesemüller, Kovac M, Park YL, Akanyeti O, Liao J C, and Jusufi A. Body caudal undulation measured by soft sensors and emulated by soft artificial muscles. Integrative and Comparative Biology, 2021.
    • Fabian Schwab, Fabian Wiesemüller, Claudio Mucignat, Yong-Lae Park, Ivan Lunati,Mirko Kovac, and Ardian Jusufi. Undulatory swimming performance explored with a biorobotic fish and measured by soft sensors and particle image velocimetry. Frontiers in Robotics and AI, page 387, 2021.
    • Robert Siddall, Greg Byrnes, Rob J. Full and Ardian Jusufi, Tails stabilize landing of gliding geckos crashing head-first into tree trunks’, Communications Biology, 2021. 

  • Pierre Schumacher receives RIG “Outstanding Doctoral Thesis Award” at the German Robotics Conference 2026

    Pierre Schumacher receives RIG “Outstanding Doctoral Thesis Award” at the German Robotics Conference 2026

    Pierre Schumacher has been selected as one of the two recipients of the “RIG Outstanding Doctoral Thesis Award”, recognizing exceptional doctoral research in robotics in Germany. The award was officially announced during the “RIG Heroes Award Night 2026” at the German Robotics Conference 2026, organized by the Robotics Institute Germany (RIG), in Cologne on March 12.

    Schumacher’s dissertation, “Reinforcement Learning for Muscle-Driven Systems,” was selected from 27 nominations submitted by 16 institutions across Germany. Following an extensive evaluation process, an international selection committee chose two equal awardees, citing Schumacher’s work for its “scientific depth, originality, and impact”.

    Pierre Schumacher conducted his doctoral research at the Max Planck Institute for Intelligent Systems in Tübingen under the supervision of Prof. Georg Martius (University of Tübingen) and Prof. Daniel Häufle (Hertie Institute for Clinical Brain Research) funded by the Cyber Valley Research grant “Learning effcient control of non-linear muscle-driven systems: Morphological computation as guiding principle”. His project was part of the Cluster of Excellence “Machine Learning: New Perspectives for Science” and the Center for Bionic Intelligence Tübingen Stuttgart (BITS). His dissertation, “Reinforcement Learning for Muscle-Driven Systems,” addresses challenges in controlling complex, highly overactuated robotic and biomechanical systems by developing new machine learning methods.

    A central contribution of the work is the development of DEP-RL, a reinforcement learning approach that improves exploration and learning in systems with many redundant actuators, such as musculoskeletal models. Using this method, Schumacher demonstrated efficient learning for tasks involving complex simulated bodies, including a human model with dozens of muscles and animal-inspired locomotion systems.

    Pierre’s research also explored how muscle-like actuation can improve learning performance and robustness in robotic systems. In collaborative studies, Schumacher and colleagues showed that musculoskeletal models can lead to more data-efficient and stable learning in anthropomorphic control tasks. More recent work demonstrated that reinforcement learning can produce natural and robust bipedal walking in musculoskeletal simulations without relying on motion-capture demonstrations.

    Schumacher began his academic path with a trinational bachelor’s degree in physics that took him to universities in France, Luxembourg, and Germany. After completing his B.Sc. in physics in Saarbrücken 2017, he shifted toward computational approaches and pursued a master’s degree at Goethe University Frankfurt in Frankfurt am Main. In 2021, he joined the Max Planck Institute for Intelligent Systems and the Hertie Institute for Clinical Brain Research in Tübingen with Prof. Georg Martius and Prof. Daniel Häufle for his PhD in Computer Science, which he completed in 2025.Schumacher’s expertise has also attracted industry attention: he joined MyoLab, a startup based in New York focusing on musculoskeletal control technologies, last year.

    The RIG Outstanding Doctoral Thesis Award highlights emerging researchers whose doctoral work significantly advances robotics research in Germany. Schumacher’s selection underscores the growing importance of combining machine learning, biomechanics, and embodied intelligence to enable the next generation of adaptive robotic systems.

  • Cyber Valley Start-up Meshcapade draws Epic Games to Tübingen

    Cyber Valley Start-up Meshcapade draws Epic Games to Tübingen


    Meshcapade has been acquired by Epic Games. As part of the acquisition, Epic Games is establishing a presence in Cyber Valley. The Meshcapade team will join Epic’s AI research team, contributing to technologies for Unreal Engine and MetaHuman.

    Meshcapade, is a spin-off of the Max Planck Institute for Intelligent Systems (MPI-IS) in Tübingen and one of the earliest members of the Cyber Valley Start-up Network. The start-up develops advanced technologies for the creation and animation of digital humans. Founded in 2018, the start-up received the inaugural Max Planck Startup Award from the Stifterverband in 2022. Epic Games is a U.S. game developer and creator of Unreal Engine, a game development technology. 

    Meshcapade’s technology builds on the Institute’s SMPL (Skinned Multi-Person Linear) body model, a highly realistic 3D representation of the human body trained on thousands of 3D scans. Licensed through Max Planck Innovation, the technology transfer arm of the Max Planck Society, SMPL has become the de facto standard for 3D human representation in both academia and industry. The technology was developed by co-founders Naureen Mahmood and Talha Zaman together with Michael J. Black, Director of Perceiving Systems at MPI-IS. 

    The Meshcapade team will now join Epic Games, which is opening a new office in Tübingen. This move strengthens Epic’s presence in Cyber Valley, one of Europe’s leading AI innovation ecosystems, and underscores the region’s role as a hub for cutting-edge research and industry collaboration in artificial intelligence, computer vision, and digital human technologies. 

    Read the full news story from the Max Planck Society here:

    https://www.mpg.de/26082348/max-planck-spin-off-meshcapade-draws-epic-games-to-tuebingen

  • Journalist-in-Residence program

    Journalist-in-Residence program

    The Cyber Valley Journalist-in-Residence program offers up to two journalists the opportunity to explore their own questions about artificial intelligence during a three-to-six-month residency at Cyber Valley.

    The focus is on how AI applications can be used effectively in journalism and how evidence-based, differentiated reporting on the technologies behind the term “artificial intelligence” can be ensured. The selected journalists are chosen by an independent jury and work completely freely during their stay, with no restrictions on content. Cyber Valley expressly does not expect any reporting on AI topics or about Cyber Valley. Instead, the focus is on open exchange with researchers from various disciplines. The program takes place twice a year and promotes critical dialogue between science and the media, with the aim of opening up new perspectives on the social implications of AI.

    Your Contact

    Silke Dutz manages Cyber Valley’s Public Engagement by opening its doors to the community and engaging with the public through formats such as Campus Tours, Open House Days, and Science Festivals, while keeping in mind the critical reflection on the ethical and social implications of AI research.

  • Mirelo AI: Shaping the Future of AI from Cyber Valley

    Mirelo AI: Shaping the Future of AI from Cyber Valley

    Carl Johann Simon-Gabriel’s career exemplifies the successful translation of cutting-edge research into entrepreneurial innovation. After completing his PhD under the supervision of Prof. Bernhard Schölkopf at the Max Planck Institute for Intelligent Systems in Tübingen, he spent several years working in leading technology companies in the United States before co-founding Mirelo AI.

    Mirelo AI develops generative AI models capable of producing high-quality, production-ready sound effects directly from video content. This technology addresses a largely untapped area of audiovisual production and offers substantial potential for applications in film, gaming, and advertising.

    Founded in 2023, since joining the Cyber Valley Startup Network in 2024, Mirelo AI has become a strong example of how scientific excellence, ambitious vision, and effective execution converge within the region’s AI ecosystem. The successful completion of this seed round underscores both the company’s potential and the international relevance of the Cyber Valley research and innovation environment.

    Image: Flügelmann

    At the Demo Day of the Cyber Valley AI Incubator (Batch #6), Carl Johann Simon-Gabriel participated as a keynote speaker, sharing insights from his entrepreneurial journey and inspiring the next generation of founders. Reflecting on his experience, he noted:

    “Cyber Valley is a great initiative for emerging AI startups, especially because it is rooted in Tübingen’s world-renowned AI research scene and its talent pool.”

    Mirelo AI is continuing to expand its team and is actively recruiting talent to develop next-generation generative AI models for audio and video. Open positions are available on the company’s website: Mirelo.ai

    Related Start-Ups

    • Mirelo AI

      Mirelo AI