User Group: Researcher

  • Last month at Cyber Valley: June

    Last month at Cyber Valley: June

    A lot was happening at Cyber Valley last month. Here’s a quick roundup of our highlights from June. Find out how Cyber Valley’s mission to translate excellent research into real-world applications for a better future for everyone came to life.

    TECH by Handelsblatt in Heilbronn

    Cyber Valley enjoyed three exciting days at TECH by Handelsblatt in Heilbronn from May 31 to June 2.

    On June 1, our panel “From Research to Business: AI and Robotics Start-ups from Cyber Valley” brought together founders from across the Cyber Valley Start-up Network to show how excellent research is being transformed into innovative products, companies, and technologies.

    A big thank you to our speakers: Laura Neusser (Optocycle), Frederik Wulle (Collectu), Maximilian Bode (Biocompile), Lisa Raab (Spotium), Richard Hans Schreiber (Tabularis.AI), John Achim Holzhauer (Semorai GmbH), Partha Ghosh and Felix Leeb (MaiTY), as well as Anand Waghmare (Yugen Space).

    These start-ups emerged from our academic partner institutions—Max Planck Institute for Intelligent Systems (MPI-IS), Karlsruhe Institute of Technology (KIT), and the Universities of Stuttgart and Tübingen—and exemplify the strength of our ecosystem in turning research excellence into entrepreneurial success.

    Another special moment was the visit of Cem Özdemir, Minister President of Baden-Württemberg, Petra Olschowski, State Minister of Science, Research and the Arts of Baden-Württemberg, and Karsten Wildberger, Federal Minister for Digital Transformation and Government Modernization, to the exhibition area, underscoring the growing importance of AI, robotics, and deep-tech innovation for Baden-Württemberg.

    Photo: Cyber Valley

    IEEE International Conference on Robotics and Automation (ICRA) in Vienna

    On June 1–5, Cyber Valley had a fantastic time attending the IEEE International Conference on Robotics and Automation (ICRA) in Vienna for the first time! The conference brought together top researchers, industry leaders, and robotics enthusiasts to share ideas and advance the field of robotics. We enjoyed engaging conversations and connecting with leading AI researchers from the Cyber Valley Community and beyond.

    Through fostering connections with researchers, we’re turning AI and robotics research into real-world applications that will help secure Europe’s technological and economic future.

    Photo: Cyber Valley

    Cyber Valley AI Incubator Batch #8

    In June, we welcomed the participants of Batch #8 of the Cyber Valley AI Incubator in Tübingen for the first three days of an exciting multi-week journey.

    Here are some highlights from the first weeks:

    Day 1 opened with a welcome from Leila El Masri (MPI-IS) and Paul-David Bittner (Cyber Valley). Participants explored the public funding landscape with Daniel Heblik (Startup Center Tübingen), sharpened their understanding of customers and business models with Michael Raschke (Blickshift GmbH), and learned how to turn AI ideas into viable ventures using the Business Model Canvas with Jörg Büechl (ESB Business School, Reutlingen University).

    Day 2 brought founder and investor perspectives: Katrin Renz (Physical AI) shared her path from research to start-up, Björn Brenner (NEXTGN) spoke about making investment decisions, and Franziska Ivens (Silicon Allee Venture Lab at Fraunhofer Heinrich Hertz Institute HHI) explored different funding models from lab to market. In the Ask-an-Investor panel, Franziska Ivens, together with Chris Ferle (Bosch Ventures), and Benedikt Battke (Grazia Equity) answered questions on funding, investing, and building scalable start-ups.

    Day 3 brought together legal expertise and entrepreneurial thinking as teams explored how to move responsibly from ideas to prototypes. Thanks to our speakers for guiding the teams:

    • Benjamin Krahmer (DORNKAMP Law Firm) for sharing practical insights on AI regulation and key legal challenges.
    • Kevin Sartori (Auterion) for leading an engaging venture-building workshop, guiding teams in turning ideas into early prototypes.

    The Cyber Valley AI Incubator empowers scientists and entrepreneurs with promising AI ideas to begin their entrepreneurial journey. Over several weeks, participants receive hands-on training, mentoring, and access to leading experts, founders, and investors. Each full-day session focuses on a specific topic—from team building and market analysis to prototyping, business models, and pitching—equipping participants with actionable insights and a growing network.

    The Cyber Valley AI Incubator is funded by the Carl-Zeiss-Stiftung and organized by MPI-IS.

    Photo: MPI-IS

    Campus Tour in Tübingen

    It was a pleasure to welcome so many interested guests to our Campus Tour in Tübingen on June 11!

    As part of our new Cyber Valley Innovation Campus Tours series, participants get an exclusive behind-the-scenes look at Europe’s largest center for excellence in AI and robotics. In addition to an introductory presentation, guests can join a guided tour of the Campus in Tübingen and learn more about the people, research, and innovation driving the ecosystem.

    At Cyber Valley, our mission is to translate AI and robotics research into real-world solutions that benefit people, industry, and society. Engaging with the public and opening our doors to the community is an important part of that mission.

    The next Campus Tour in Tübingen (held in German) will take place on Thursday, July 16. We look forward to welcoming you! Sign up here. 

    Photo: Cyber Valley

    Cyber Valley Impulse on cybersecurity

    On June 16, the Cyber Valley Impulse on cybersecurity took place in Stuttgart. Experts from science and industry shared insights on 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

    Thanks to our excellent speakers and contributors: Jonas Ditz (Bundesamt für Sicherheit in der Informationstechnik), Maximian Geyer (Fraunhofer IPA), Mirko Tochtermann (oneAI GmbH), Richard Hans Schreiber (Tabularis.AI), and Aleksandar Hudic (Schwarz Digits).

    The next Impulse on agriculture, sustainability, and the environment will take place on July 8 in Weinstadt. You can find out more here.

    Photo: Cyber Valley

    Open Science Day at University of Stuttgart

    On Saturday June 27, we had a great time at the University of Stuttgart’s Science Day on the Vaihingen Campus!

    We enjoyed welcoming so many curious visitors to our booth and sharing insights into AI research, innovation, and the Cyber Valley Innovation Campus. A special thank you to IRIS (Interchange Forum for Reflecting on Intelligent Systems) at the University of Stuttgart for organizing our joint booth and creating a great space for conversations about both AI innovation and its societal impact.

    Photo: Cyber Valley
  • Success stories from the Cyber Valley Innovation Campus: April–June 2026

    Success stories from the Cyber Valley Innovation Campus: April–June 2026

    The Cyber Valley Innovation Campus brings top scientists to Baden-Württemberg to advance AI and robotics research. These scientists are paving the way for the application of their research for the benefit of people, industry, and society.

    Members of the Cyber Valley Innovation Campus include the Max Planck Institute for Intelligent Systems (MPI-IS), Universities of Tübingen and Stuttgart, Fraunhofer IAO and IPA, ELLIS Institute Tübingen, and Karlsruhe Institute for Technology (KIT). As leading research institutions, they have announced the following exciting developments between April and June 2026.

    Aamir Ahmad’s research group develops algorithms to monitor endangered wildlife

    Researchers at the University of Stuttgart are advancing species conservation by making animal identification easier. By combining AI with ecological data, the Flight Robotics and Perception Group, led by Aamir Ahmad, has developed algorithms that enable faster, more precise monitoring, unlocking new possibilities to protect endangered species. Read more.

    Three scientists from MPI-IS serve on the EU AI Act Scientific Panel

    Sahar Abdelnabi, Maksym Andriushchenko, and Zhijing Jin (all MPI-IS) are joining 60 experts on the AI Act Scientific Panel, which will advise the EU AI Office on the implementation of the AI Act. The Scientific Panel’s main responsibilities include alerting the AI Office to systemic risks, advising on GPAI classification and evaluation methodologies, and supporting market surveillance activities. Read more.

    Kristof Meding becomes a member of Die Junge Akademie

    Kristof Meding, head of the Computational Law Lab at the University of Tübingen’s CZS Institute for Artificial Intelligence,  has been appointed to Die Junge Akademie. The academy admits outstanding young academics from different academic disciplines and creative fields to explore interdisciplinary work and encourage dialog between academia and society. Read more.

    ELLIS Institute Tübingen and Kyutai launch KE:SAI

    KE:SAI is a non-profit open science research laboratory dedicated to the next frontier of artificial intelligence: systems that can understand and act in the real world. The research is being led by a founding team of renowned experts, including Andreas Geiger (University of Tübingen), and Bernhard Schölkopf (MPI-IS, ELLIS Institute Tübingen, and University of Tübingen). Read more.

    MPI-IS and University of Stuttgart scientists build an easy-to-control and energy-efficient flying robot  

    Researchers have developed a bird-inspired robot, nicknamed “Floaty”, that stays airborne by adapting its shape and exploiting wind currents, rather than relying on propellers. Using a learned aerodynamic model, it can remain stable, recover from disturbances, and has potential applications such as inspecting industrial sites or helping control rockets during re-entry. Read more.

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  • 2021: Founding of Cyber Valley GmbH—Interview with Florian K. Mayer

    2021: Founding of Cyber Valley GmbH—Interview with Florian K. Mayer

    In 2016, important actors from science, industry, and politics founded the Cyber Valley Consortium, which became the first Innovation Campus in Baden-Württemberg. Ten years on in 2026, we’re revisiting the most important milestones from the last decade. Each month, we’ll focus on a particular year since Cyber Valley’s beginning. 

    This month, we’re looking back to 2021, when the Cyber Valley initiative transitioned into being a GmbH (a registered German company). Cyber Valley GmbH’s Managing Director, Florian Mayer, had already been deeply involved in the initiative since the beginning and has continued to play a vital role for the company. In the following interview, he reflects on what it was like to work for Cyber Valley at the beginning and how it continues to fulfill its mission of transforming AI and robotics research into a sustainable future for all.  

    What was it like when you started working for the Cyber Valley initiative? What was its original mission? 

    When I started at Cyber Valley, there was a real sense of excitement in the air. You felt like you were part of something new and special. That enthusiasm was contagious; many people wanted to play an active role in building one of Europe’s leading centers for artificial intelligence and robotics. 

    Cyber Valley’s mission was—and still is—to create an attractive and internationally visible ecosystem for AI and robotics. Researchers should not only be able to conduct excellent basic research but also have better opportunities to translate their findings into concrete applications and innovations. Silicon Valley has been and remains an important model in this regard: a place where cutting-edge research, entrepreneurship, and social progress are closely intertwined. 

    What were the biggest challenges during the transition from initiative to GmbH?  

    The biggest challenge during the transition from an initiative to a GmbH was undoubtedly the discussions about the appropriate legal form and the future governance structure. Various models, such as a GmbH, a gGmbH, or an association, were thoroughly examined and discussed. Such decisions set the course for the future and therefore had to be carefully weighed. 

    Furthermore, it is inherently challenging to reconcile the interests and expectations of a large number of diverse stakeholders. In Cyber Valley, universities, research institutions, companies, and public partners work closely together. However, it is precisely this diversity that makes the collaboration particularly exciting and is ultimately one of the ecosystem’s greatest strengths. 

    What has personally surprised you the most in the journey since becoming a GmbH? 

    What surprised me most was how well-known and respected the name Cyber Valley had already become in its early years, even before the GmbH was founded. In a relatively short time, Cyber Valley had made a name for itself both nationally and internationally. 

    I was also impressed by how successfully the partners have managed to attract outstanding scientists from all over the world to the region. This concentration of talent is extraordinary and has played a major role in establishing Cyber Valley’s reputation today as one of Europe’s leading AI ecosystems. 

    Cyber Valley aims to turn AI and robotics research into a more sustainable future for everyone. What does that mean to you?  

    This means a great deal to me because I see enormous potential in AI and robotics for Baden-Württemberg, Germany, and Europe. Our region boasts excellent basic research and numerous internationally recognized research institutions. At the same time, there remains great potential to translate scientific findings even more effectively into innovative products, services, and business models. 

    This is precisely where ecosystems like Cyber Valley can make an important contribution. They bring together science, business, and society and create the conditions that allow innovations to find their way into practical application more quickly. In doing so, they make an important contribution to the future viability of our business location and to shaping technological progress in a sustainable way. 

    What responsibility do organizations like Cyber Valley have in shaping how AI affects society? 

    In my opinion, organizations like Cyber Valley GmbH bear a very great responsibility. Technological innovation alone is not enough: just as important is the question of how these technologies are used in society and what impact they have on people and institutions. Cyber Valley GmbH has therefore made promoting societal acceptance of new technologies a core part of its mission. Those who fail to adequately consider the ethical, social, and societal implications of AI run the risk of losing public trust. An important step in this direction was the establishment of the Public Advisory Board back in 2019. This created a framework early on to incorporate societal perspectives and critical questions into the further development of the ecosystem. 

    What makes the Cyber Valley ecosystem unique compared to other AI hubs? 

    Cyber Valley is unique because it is not limited to a single location. The ecosystem spans the various locations of its partners, thereby bringing together diverse areas of expertise and perspectives. The participating universities and research institutions have a wide range of scientific focuses, ensuring that a particularly broad spectrum of AI and robotics research is covered. 

    Added to this is its strong integration into one of the world’s most innovative economic regions. Baden-Württemberg boasts a high concentration of technology-oriented companies, global market leaders, and industrial expertise. This combination of excellent research, international talent development, and a strong industrial base creates ideal conditions for the successful transfer of research findings into practical applications and sets Cyber Valley apart from many other AI hubs worldwide. 

    To celebrate Cyber Valley’s ten-year anniversary, we’ll be sharing a variety of content across our website and social media channels reflecting on milestones from the last decade. Stay tuned for the next installments! 

  • 2021: Critically reflecting on how AI is impacting society—Interview with IRIS

    2021: Critically reflecting on how AI is impacting society—Interview with IRIS

    In 2016, important actors from science, industry, and politics founded the Cyber Valley Consortium, which became the first Innovation Campus in Baden-Württemberg. Ten years on in 2026, we’re revisiting the most important milestones from the last decade. Each month, we’ll focus on a particular year since Cyber Valley’s beginning.

    This month, we’re looking back to 2021, when the Interchange Forum of Reflecting on Intelligent Systems (IRIS) was founded at the University of Stuttgart. IRIS aims to bring researchers together to critically reflect on the foundations, mechanisms, implications, and effects of intelligent systems in research, teaching, and society.

    Steffen Staab and Maria Wirzberger have led the project since its beginning. In the following interview, they reflect on key moments since the project’s founding and why IRIS’s work is critical for ensuring AI is used responsibly.

    What was the original motivation behind starting IRIS? What problems did it seek to address?

    The University of Stuttgart is a technically oriented university. Many of our colleagues, including ourselves, develop and investigate intelligent systems. By intelligent systems, we do not only refer to artificial intelligence systems, though these are included and are at the heart of what we do personally. We also refer to, for example, urban, traffic, or biological systems that exhibit beneficial or detrimental emergent properties resulting from perception, intelligent processing, and (re-)action, including system resilience or failure, among others.

    Specifying the desired behavior of such intelligent systems is notoriously difficult and requires reflecting on the implications for individuals, groups, or society at large. This is a transdisciplinary challenge that must include not only technical disciplines but also the humanities and the social sciences, as well as society at large. IRIS serves as a forum for people within and beyond our university to gather and address these challenges.

    Addressing the outlined challenges, we focus on three core dimensions: research, teaching, and public engagement. In research, we address timely questions at disciplinary intersections, for example, how AI is shaping political opinion and public discourse, or how it changes workplace characteristics in safety-critical domains. In teaching, we offer students and educators opportunities to foster a critical and reflective mindset towards the potential ethical and social impacts of intelligent systems. In public engagement, we foster dialog with the public through various formats that explain our research to society and provide a platform for citizens to share their thoughts and concerns about technological advances.

    Looking back over the past five years, which activities or initiatives from IRIS were a particular highlight for you and why do they stand out?

    IRIS was started in early 2021, i.e., before the ChatGPT moment in November 2022. So one of the highlights in research was the hiring of junior research groups who started in 2023. They have all contributed significantly to studying the implications of chatbots and, later on, agentic AI: how AI may violate ethical constraints, can be deceptive, or be biased.

    Other highlights included our joint online summer school with NoBias in the fall of 2021, which attracted more than 100 doctoral and postdoctoral researchers. Or the ACM Web Science Conference in summer 2024, which featured prominent keynotes from the US, China, and Europe from a variety of academic disciplines.

    In teaching, our highlights include the implementation of course offerings for both schools and higher education, targeting the promotion of a critical mindset towards the unintended side effects of intelligent systems in personal and professional domains. Focusing on teaching at the University of Stuttgart alone, we have reached almost 3000 students so far and, due to their positive feedback, are currently expanding our offering, encouraged by the rectorate. On a related note, we were even successful in acquiring third-party funding for developing a digital learning offer for schools, focusing, among other things, on cyberbullying and algorithmic manipulation.

    Finally, a particular highlight in public engagement constitutes our proposal “Questions to Colleague AI”, representing one of 26 projects funded by the former Federal Ministry of Education and Research as part of the Year of Science 2022. This project brought to life a variety of high-profile events, and featured, among others, a special concert with the Stuttgart Chamber Orchestra performing a novel AI-composed music piece, a debate series with leading panelists, and a virtual citizen’s council moderated by a specifically developed AI bot.

    Why is it important to draw on expertise from different disciplines when critically reflecting on AI’s impact on society?

    Different disciplines have memories of when past situations caused problems of a similar nature. We may, for example, unfortunately observe some transhumanists raising fascist-like talking points today, and there is a broad literature about the dangers that result from such points of view. Different disciplines have developed a range of methodologies to analyze and solve new problems and cultivated diverging portfolios that can be leveraged to build and refine reflective capacities among involved stakeholders. Hence, restricting ourselves to only a few technical disciplines would severely limit our ability to comprehensively address high-impact, newly emerging societal consequences.

    In what ways has being part of Cyber Valley supported IRIS in achieving its aims?

    Cyber Valley provides an ecosystem of like-minded people across both the Universities of Stuttgart and Tübingen, the Max Planck and Fraunhofer Institutes, and various companies and foundations, sparking regular opportunities for dialog and exchange. In addition to several local colleagues at our institution as part of cross-site initiatives like the Center for Bionic Intelligence Tübingen Stuttgart (BITS), we are also connected to colleagues located in Tübingen and, until recently, have benefited from recurring inputs from Professor Bob Williamson as a wise, encouraging, and incredibly motivating member of the IRIS International Advisory Board. Also, Dr. Ksenia Keplinger from the Stuttgart site of the Max Planck Institute for Intelligent Systems is actively involved in IRIS as an associated member.

    Has anything about how we think about “responsible AI” changed since IRIS was founded, and if so, how?

    When IRIS was founded, “responsible AI” was still a niche topic. Now, its importance has been globally recognized, particularly with the European AI Act as a visible and binding legal framework, which has been defined as a mandatory standard across member states. With the rapidly increasing capabilities of current AI, its challenges have become tremendously more severe and urgent. Even more so, if we consider emerging critical dynamics such as sycophancy and the resulting emotional addiction to conversational AI. These observations demonstrate the significant influence AI has on individuals and on interpersonal relationships. Related challenges cannot be tackled from a technical perspective alone, making IRIS’s contributions even more significant.

    The University of Stuttgart has also been in conversation with Maria Wirzberger and Steffen Staab, asking them to reflect on how IRIS is shaping an AI future that supports society. Read the full interview here.

    To celebrate Cyber Valley’s ten-year anniversary, we’ll be sharing a variety of content across our website and social media channels reflecting on milestones from the last decade. Stay tuned for the next installments! 

  • Quantifying uncertainty in scientific theories

    Quantifying uncertainty in scientific theories

    Paul Christian Bürkner and his research group have successfully completed their project “Meta-uncertainty in Bayesian model comparison” at the Cluster of Excellence SimTech at the University of Stuttgart. The project addressed a significant problem faced by scientists: the uncertainty that arises when theorizing about complex phenomena.

    This uncertainty must be accounted for when drawing scientific conclusions. Scientists can do this by translating scientific theories into statistical models and then investigating how well their predictions match real-world data. To compare uncertainty from different models and to understand which model is more likely to be true—or at least closer to the truth—scientists can use Bayesian model comparison (BMC).

    These probabilities of uncertainty that BMC provides are uncertain themselves, however. This is called meta-uncertainty (uncertainty over uncertainties). Meta-uncertainty affects the conclusions that can be drawn from model comparisons and the conclusions we can draw about the scientific theories they are based on.

    To address this problem, this project developed and evaluated methods for quantifying meta-uncertainty in BMC. Bürkner’s research team built upon mathematical theory of meta-uncertainty to utilize extensive model simulations as an additional information source, enabling them to quantify implicit yet important assumptions of BMC. The team also significantly improved the efficiency of their new methods by coupling them with neural network approaches, greatly accelerating the model evaluations that were previously possible.

    The project’s main achievement was the development and evaluation of methods for quantifying meta-uncertainty in BMC. Their research and corresponding software are freely and openly available. Companies can use them to improve their prediction models and uncertainty qualification, thereby adapting cutting-edge research for real-world applications. The project was funded by the Cyber Valley Research Fund and was carried out between 2021 and 2024.

     

    This project produced the following peer-reviewed publications: 

    Schmitt M., Pratz V., Köthe U., Bürkner P. C., and Radev S. T. (2024). Consistency Models for Scalable and Fast Simulation-Based Inference. Proceedings of the Conference on Neural Information Processing Systems (NeurIPS). Available on ArXiv.

    Schmitt M., Ivanova D. R., Habermann D., Köthe U., Bürkner P. C., and Radev S. T. (2024). Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference. Proceedings of the International Conference on Machine Learning (ICML).

    Elsemüller L., Olischläger H., Schmitt M., Bürkner P. C., Köthe U., and Radev S. T. (2024). Sensitivity-Aware Amortized Bayesian Inference. Transactions in Machine Learning Research.

    Schmitt M., Li C., Vehtari A., Acerbi L., Bürkner P. C., and Radev S. T. (2024). Amortized Bayesian Workflow (Extended Abstract). NeurIPS Workshop on Bayesian Decision-Making and Uncertainty.

    Radev S. T., Schmitt M., Pratz V., Picchini U., Köthe U., and Bürkner P. C. (2023). JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models. Uncertainty in Artificial Intelligence (UAI) Conference Proceedings.

    Schmitt M., Radev S. T., and Bürkner P. C. (2023). Meta-Uncertainty in Bayesian Model Comparison. Artificial Intelligence and Statistics (AISTATS) Conference Proceedings.

    Schmitt M., Bürkner P. C., Köthe U., and Radev S. T. (2023). Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks. Proceedings of the German Conference on Pattern Recognition (GCPR).

    Radev S. T., Schmitt M., Schumacher L., Elsemüller L., Pratz V., Schälte Y., Köthe U., and Bürkner P. C. (2023). BayesFlow: Amortized Bayesian Workflows With Neural Networks. Journal of Open Source Software.

    About the Cyber Valley Research Fund

    The Cyber Valley Research Fund was established to support Cyber Valley research groups undertake basic research in the fields of artificial intelligence and robotics. The fund totaled five million euros, including contributions from six of Cyber Valley’s founding corporate partners: Amazon, BMW, Bosch, IAV, Mercedes-Benz, Porsche, and ZF. It supported 20 research projects, the first of which began in 2020, and the final of which will conclude in 2026.

  • Last month at Cyber Valley: May

    Last month at Cyber Valley: May

    There was a lot happening at Cyber Valley last month. Here’s a quick roundup of our highlights. Find out how Cyber Valley’s mission to translate excellent research into real-world applications for a better future for everyone came to life.
     

    AI Launchpad at Cyber Valley

    The AI Launchpad took place at Cyber Valley’s Tübingen campus for the first time on 4–8 May, bringing together early-stage AI start-ups from leading European innovation ecosystems for a week of mentoring, networking, and ecosystem exploration. Born out of Rise Europe and co-organized by ELIAS (European Lighthouse of AI for Sustainability), Tübingen AI Center, and Cyber Valley GmbH, the program supports AI start-ups as they grow from research into scalable, market-ready ventures. 

    We welcomed Joao Santos (Tilect, Campus Founders), Marc Willhaus (Optohive, ETH Zurich), and Olof Woxenius (Atramen.to, KTH Innovation) to Tübingen. The goal of the week was to connect these start-ups with research institutions, scientists, corporates, and investors within the Cyber Valley ecosystem.

    Read more about it here.

    Photo: Cyber Valley

    Next Frontier AI Roadshow from SPRIND

    Following stops in Zurich, Warsaw, and Amsterdam, the Next Frontier AI Roadshow from SPRIND – Bundesagentur für Sprunginnovationen made its final stop at Cyber Valley in Tübingen on May 8, and what a way to close! Over 60 entrepreneurs and scientists gathered to explore breakthrough AI innovation. 

    Participants gained valuable insights into emerging AI technologies, entrepreneurial pathways, and the challenges and opportunities that lie ahead for Europe’s innovation landscape. The event provided a platform for meaningful exchange between leading scientists and founders, fostering new connections and potential collaborations across disciplines. 

    The strong turnout and engaging discussions once again demonstrated the unique strength of Cyber Valley’s ecosystem. By bringing together world-class research, entrepreneurial talent, and industry expertise, Cyber Valley continues to create an environment where pioneering AI ideas can be translated into real-world applications and societal impact.

    Photo: Cyber Valley

    Max Planck Open House in Tübingen

    We were pleased to take part in the Max Planck Open House on Saturday, May 9, welcoming visitors to the Tübingen campus for a behind-the-scenes look at world-class research in AI, robotics, biology, and neuroscience. 

    Guests explored interactive exhibits and demonstrations at the Max Planck Institute for Intelligent Systems, the Max Planck Institute for Biological Cybernetics, and the Max Planck Institute for Biology Tübingen together with the Friedrich Miescher Laboratory. Researchers shared insights into their work and showed how fundamental science is shaping the technologies of tomorrow. 

    Together with the ELLIS Institute Tübingen, ELLIS Network, the Tübingen AI Center, polybot, and Yugen Space, we showed the strength of Tübingen’s innovation ecosystem, where excellent research and entrepreneurial thinking come together to advance AI and robotics in Baden-Württemberg.

    Photo: Cyber Valley

    Delegation visit from Opportunity Austin, Texas

    As part of Cyber Valley’s efforts to strengthen international connections and support start-up growth, we met with Drew Chance, Vice President of Economic Development at Opportunity Austin and a local real estate investor on May 13 in Tübingen to discuss opportunities for companies looking to expand into the US market. 

    Opportunity Austin is a privately funded non-profit organization dedicated to attracting and supporting businesses in the Austin region. Working closely with local government, universities, and industry partners, the organization helps companies establish a presence in one of the fastest-growing technology hubs in the United States. 

    During the meeting, we learned about several programs designed to support international start-ups, including soft-landing opportunities that can help companies navigate their first months in Austin. These initiatives are aimed at reducing barriers to market entry and accelerating business development in the region. The meeting opened up promising opportunities for future collaboration and provided an additional pathway for Cyber Valley start-ups considering expansion into the US market. 

    Photo: Cyber Valley

    WOMEN OF TECH CONFERENCE 2026 at ARENA2036 in Stuttgart

    Cyber Valley attended the WOMEN OF TECH CONFERENCE 2026 at ARENA2036 in Stuttgart on May 21, an inspiring event that highlighted both the progress made toward greater diversity in technology and the work that still lies ahead.

    Women continue to be underrepresented in many areas of technology, AI, and leadership. Events like the WOMEN OF TECH Conference play an important role in addressing this challenge by creating visibility, fostering meaningful connections, and strengthening professional networks that support women throughout their careers. 

    Day 2 featured engaging discussions on leadership, emotional intelligence, collaboration, AI, and the future of work. Cyber Valley joined the event to connect with inspiring women across the tech ecosystem and to identify potential speakers for future Cyber Valley events and initiatives. The enthusiasm, openness, and willingness to share experiences made for a particularly inspiring atmosphere.

    Photo: Cyber Valley

    IP2Invest from Medical Innovations Incubator GmbH at Cyber Valley

    On May 21, Cyber Valley was proud to support IP2Invest, an inspiring event from Medical Innovations Incubator GmbH that brought together startups, investors, IP experts, and innovation ecosystem partners for an evening of insightful discussions, valuable networking, and entrepreneurial inspiration. 

    A key focus of the event was the role of intellectual property in building successful and investor-ready start-ups. Through expert panel discussions and practical insights, participants gained a deeper understanding of how strong IP strategies can support growth, attract investment, and create long-term value. 

    The event also featured the “Startup BW Elevator Pitch”, where innovative start-ups presented their ideas to a panel of experts and a live audience. Congratulations to OSORA Medical GmbH, which secured first place, as well as QuantiLight and Medora Care, who shared second place, and PediOx, which received third place. 

    Cyber Valley is committed to fostering connections between research, entrepreneurship, and industry. Events like IP2Invest play an important role in helping innovative ideas move from the laboratory to the marketplace. By bringing together founders, investors, and experts, the event created a valuable platform for knowledge exchange and future collaboration.

    Photo: Cyber Valley
  • Improving the efficiency of training deep learning models

    Improving the efficiency of training deep learning models

    Frank Schneider and his research group have successfully completed their project “Resource-efficient autonomous training algorithms for deep learning” at the University of Tübingen. The project developed more resource-efficient and autonomous training algorithms for neural networks that have the potential to reduce training costs and improve model performance. Their findings are publicly available to both academic and industry labs, offering the potential for this research to be transferred into real-world applications.

    The project was funded by the Cyber Valley Research Fund and was carried out between 2022 and 2024. It aimed to design training methods that could automatically adapt its hyperparameters (such as the learning rate) during the training phase of deep neural networks, reducing the reliance on user-defined or well-tuned hyperparameters. This would bring about a decrease in computational demands and energy consumption, making deep learning more accessible to researchers outside of the few top academic or industry labs.

    An important outcome of the project was the development of the “AlgoPerf: Training Algorithms” benchmark: the first community-standard specifically designed to reliably measure the speeding up of neural network training resulting from algorithmic improvements. AlgoPerf was developed as an open collaboration within the MLCOmmons non-profit consortium, consisting of over 20 researchers from academia and industry, and led by two co-chairs: George Dahl (Google DeepMind) and Frank Schneider (University of Tübingen).

    The project’s main achievement was to advance the evaluation standard for training methods, particularly those that do not require user-defined hyperparameters. All findings from this research project are publicly available, so that its algorithms and benchmark findings can be adopted by industry, potentially reducing training costs and improving model performance.

    This project produced the following peer-reviewed publications: 

    Tatzel, L., Hennig, P., & Schneider, F. (2022). Late-Phase Second-Order Training.  NeurIPS 2022 Workshop: Has it Trained Yet?. [open access]

    Eschenhagen, R., Immer, A., Turner, R., Schneider, F., & Hennig, P.

    (2023). Kronecker-Factored Approximate Curvature for Modern Neural Network

    Architectures. Advances in Neural Information Processing Systems 36 (NeurIPS). [open access]

    Kasimbeg, P., Schneider, F., Eschenhagen, R., Bae, J. et al. (2025). Accelerating neural network training: An analysis of the AlgoPerf competition. International

    Conference on Learning Representations (ICLR). [open access]

    Fernandez, A., Schneider, F., Mahsereci, M., & Hennig, P. (2025) Connecting Parameter Magnitudes and Hessian Eigenspaces at Scale using Sketched Methods. Transactions on Machine Learning Research (TMLR). [open access]

     

    About the Cyber Valley Research Fund

    The Cyber Valley Research Fund was established to support Cyber Valley research groups undertake basic research in the fields of artificial intelligence and robotics. The fund totaled five million euros, including contributions from six of Cyber Valley’s founding corporate partners: Amazon, BMW, Bosch, IAV, Mercedes-Benz, Porsche, and ZF. It supported 20 research projects, the first of which began in 2020, and the final of which will conclude in 2026.

  • Cyber Valley Impulse on agriculture and sustainability

    Cyber Valley Impulse on agriculture and sustainability

    This  month’s Cyber Valley Impulse focuses on agriculture and sustainability. Experts from research, industry, the public sector, and the innovation ecosystem will exchange insights on how AI and robotics can have a positive impact on agriculture and contribute to a sustainable future for all.

    With advances in artificial intelligence, machine learning, and robotics, new forms of agricultural and landscape-care automation are becoming increasingly realistic, opening up questions about which tasks robots should take on first, what kinds of farming systems and landscapes we want to create, and how research, industry, and practice can contribute to this transformation.

    What to expect

    • Insights into current developments and challenges in AI for agriculture and sustainability.
    • 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.

    This event is a colloaboration between Zukunftsstiftung Remstal and Cyber Valley GmbH.

  • Teaching AI to see like humans

    Teaching AI to see like humans

    Fabian Sinz’s research group has successfully completed the project “Mechanisms of representation transfer” at the Institute for Bioinformatics and Medical Informatics at the University of Tübingen. The project drew on brain activity data to improve how AI models understand images. This could improve the reliability and adaptability of computer vision systems, which are used in fields as diverse as autonomous vehicles, medical imaging, and robotics.

    The project was funded by the Cyber Valley Research Fund and was carried out between 2019 and 2024. It addressed one of the main challenges in computer vision research: While current AI systems are proficient in classifying objects and segmenting images, they are less effective when images are distorted. Humans, by contrast, are highly adept at processing visual information from vastly different contexts. Our brains can process and understand both familiar landscapes and entirely new environments; we can interpret both photographs and abstract paintings, even though they have drastically different characteristics.

    Because we do not yet fully understand what exact features humans extract when processing visual stimuli, directly incorporating human-like visual processing strategies into artificial intelligence systems has proven challenging. Consequently, this research project took an alternative approach to improving how their AI model interprets visual data: Instead of teaching it to replicate how humans process visual stimuli, they developed a method that used data from how the brain reacts to images to guide the model’s behavior. In other words, they taught their model how to process visual data more like humans by learning from how the brain responds to images, rather than trying to copy how the brain works.

    The researchers found that models trained with brain activity data alongside standard computer vision tasks demonstrated an improved ability to process visual distortions, even though they were not explicitly trained for this. These models tended to focus on parts of the images that humans find important, indicating that they were learning to process visual stimuli more like humans. Although this project was primarily concerned with basic research, its findings have potential applications in numerous fields where reliable computer vision is essential, such as autonomous driving, robotics, and medical imaging, demonstrating how AI and robotics research has the potential to help create a more sustainable future for all.

    This project produced the following peer-reviewed publications: 

    Nix, A., Shrinivasan, S., Walker, E. Y., and Sinz, F. H. (2022). Can Functional Transfer Methods Capture Simple Inductive Biases? In International Conference on Artificial Intelligence and Statistics (AISTATS).

    Pierzchlewicz, P. A., Willeke, K. F., Nix, A. F., Elumalai, P., Restivo, K., Shinn, T., Nealley, C., Rodriguez, G., Patel, S., Franke, K., Tolias, A. S., and Sinz, F. H. (2023). Energy Guided Diffusion for Generating Neurally Exciting Images. In Advances in Neural Information Processing Systems (NeurIPS).

    Safarani, S., Nix, A., Willeke, K., Cadena, S. A., Restivo, K., Denfield, G., Tolias, A. S., and Sinz, F. H. (2021). Towards robust vision by multi-task learning on monkey visual cortex. In Advances in Neural Information Processing Systems (NeurIPS).

    Nix, A., Burg, M., Sinz F., Leading by example: Guiding knowledge transfer with adversarial data augmentation. NeurIPS 2022 Workshop SyntheticData4ML.

    About the Cyber Valley Research Fund

    The Cyber Valley Research Fund was established to support Cyber Valley research groups undertake basic research in the fields of artificial intelligence and robotics. The fund totaled five million euros, including contributions from six of Cyber Valley’s founding corporate partners: Amazon, BMW, Bosch, IAV, Mercedes-Benz, Porsche, and ZF. It supported 20 research projects, the first of which began in 2020, and the final of which will conclude in 2026.

  • Kyutai and ELLIS Tübingen launch KE:SAI

    Kyutai and ELLIS Tübingen launch KE:SAI

    TÜBINGEN, Germany and PARIS, France—May 20, 2026. Kyutai and ELLIS Tübingen announce the official launch of KE:SAI—Kyutai ELLIS Scalable Autonomous Intelligence. KE:SAI is a non-profit open science research laboratory dedicated to the next frontier of artificial intelligence: systems that can understand and act in the real world.
     

    KE:SAI brings together two of Europe’s most prominent AI brands to address the fundamental challenges of world models and physical AI. Founded in Paris in 2023, Kyutai has emerged as one of Europe’s leading AI laboratories, with a focus on breakthrough research with immediate and lasting impact, and a team driven by a shared commitment to openness and excellence. It was originally funded by the iliad Group, CMA CGM and Eric and Wendy Schmidt’s philanthropy.

    The ELLIS Institute Tübingen has established itself as a leading center for foundational AI research, attracting top machine learning talent and providing state-of-the-art facilities in Tübingen, Germany. Funded by the Hector Foundation and the State of Baden-Württemberg, and collaborating closely with the Max Planck Institute for Intelligent Systems and the University of Tübingen, it is part of the European Laboratory for Learning and Intelligent Systems, a pan-European network of excellence in machine learning.

    © KE:SAI

    KE:SAI has offices in Tübingen and Paris. It provides the specialized resources necessary to conduct world-class frontier research in physical intelligence, including high-performance compute infrastructure and hardware prototyping. By integrating foundational open research and the agility of modern startups, KE:SAI will develop a fully open technology stack for physical AI. Unlike related areas of AI, where sharing of algorithms and models triggered an explosion of innovation, physical AI has yet to benefit from this flywheel. KE:SAI’s mission is to accelerate this transition and democratize physical AI. With Europe’s ecosystem of global automotive and manufacturing leaders, KE:SAI’s open science approach will rapidly translate to real-world industrial scale, establishing itself at the forefront of open-source physical AI.

    Cem Özdemir, Minister-President of Baden-Württemberg, says: “I am delighted that Kyutai, the internationally renowned AI research lab based in Paris, is now setting up shop in our AI ecosystem in Tübingen. We extend a warm welcome to them! Bienvenue and welcome. Kyutai’s establishment in Tübingen demonstrates that Baden-Württemberg is at the heart of European AI research. In Tübingen, brilliant minds meet first-class infrastructure. In addition to the Cyber Valley Innovation Campus, with the ELLIS Institute, the Max Planck Institute, and the participating universities, our innovation landscape includes other powerhouses such as the IPAI in Heilbronn or the AI Factory HammerHAI, to name just a few highlights. With the new KE:SAI research lab, top-tier talent is now advancing outstanding research excellence in the fields of 3D computer vision, data-driven simulation, causality, and physical AI. Kyutai and Baden-Württemberg are focusing on scientific excellence to enable world-leading AI research with the goal of achieving Europe’s digital sovereignty. I thank everyone involved who contributed to this success.”

    Read the full press release here.