User Group: Investor

  • Kicking off the new year: Cyber Valley welcomes four innovative start-ups

    Kicking off the new year: Cyber Valley welcomes four innovative start-ups

    Vicinity Bio

    Vicinity Bio is leading the way in biotechnology with innovative solutions in personalized medicine. Vicinity Bio is making a significant impact by combining advanced tissue imaging with AI and machine learning. The company’s unique approach turns complex proteomics data into actionable insights, opening new doors for personalized medicine and better patient care. 

    Alloqis

    Alloqis is redefining supply chain management with its innovative AI-driven solutions. Their platform ensures smarter logistics and streamlines operations, helping businesses navigate the complexities of modern supply chains. 

    SAM Dimension

    SAM Dimension believes in a future where economic growth and ecological responsibility go hand in hand. With smart, data-driven solutions like drone-based weed mapping, they’re helping farmers make better decisions, boost efficiency, and support a more sustainable way of farming. 

    Manukai

    Manukai, a spinoff from ETH Zürich, is revolutionizing manufacturing with their cutting-edge AI technology. Their first product transforms metal machining by leveraging algorithms to analyze and organize project data, enabling clients to access insights instantly and boost production efficiency. This innovation saves significant time and costs in manufacturing. 

  • Cyber Valley announces partnership with SPRIND

    Cyber Valley announces partnership with SPRIND

    SPRIND, the Federal Agency for Breakthrough Innovation, funds groundbreaking projects, alternative approaches, and spin-offs. Through this new partnership, Cyber Valley and SPRIND will foster creative solutions beyond conventional paths. 

    This partnership seeks to explore next-level AI technologies, venturing beyond popular concepts like Large Language Models (LLMs), Transformers, and Diffusion Models. It will focus on championing alternative approaches to AI, encouraging bold thinking, and exploring uncharted territories. This collaboration signals a significant step toward redefining the possibilities of artificial intelligence. 

    Leading the charge for this initiative is Mirko Holzer, Innovation Manager at SPRIND, “This partnership is all about pushing boundaries and bringing bold ideas to life. With Cyber Valley, we are creating the perfect launchpad for disruptive technologies that have the power to reshape science and society.”   

    Florian Mayer, COO of Cyber Valley, shares the enthusiasm, “It’s fantastic to see SPRIND committing significant resources and funding to such a vital area of innovation. We are thrilled to join forces and pave the way for the next wave of groundbreaking AI technologies.” 

    Alternative approaches 

    Through this collaboration, SPRIND and Cyber Valley are looking for innovators who are working on new and alternative approaches to artificial intelligence (AI), transformative artificial intelligence (TAI), and artificial general intelligence (AGI). The goal is to find alternative, bold, even speculative ideas that diverge from established AI pathways such as diffusion models, large-scale language models, and/or generally transformer-based architectures. 
     

    The partnership supports visionary AI methods, emphasizing:   

    • New Architectures: Energy-efficient designs inspired by biological systems, non-neural paradigms, quantum-inspired models, adaptive systems, and generative models simulating environments. 

    • New Learning Paradigms: Innovative methods like federated learning, causal learning, reinforcement learning, active learning, and synthetic data ecosystems to redefine how machines learn. 

    • New Hardware Approaches: Breakthroughs in neuromorphic, photonic, holographic, and biohybrid computing, as well as robotic systems with embodied cognition and sensory integration. 

    • Innovations outside the mainstream: Bold ideas such as meta-learning, swarm intelligence, digital organisms, evolutionary algorithms, and AI systems with emotional and self-aware intelligence. 

  • Demo Day for Batch #5 of The AI Incubator

    Demo Day for Batch #5 of The AI Incubator

     

    After six weeks of workshops and inspiring sessions, participants from Batch #5 of The AI Incubator will present their final ideas to a jury and an esteemed audience of investors, corporate leaders, researchers, and entrepreneurs. The top teams will be recognized by the jury and have the opportunity to win attractive prizes. Event attendees can meet the teams during the closing networking event, complete with beverages and finger foods.

     

    When? 

    December 12, 2024, 16:00–19:00 CET

     

    Where? 

    Amazon Research & Development Center
    Friedrich-Miescher-Straße 4, 72076 Tübingen

     

    Schedule

    16:00–16:30: Welcome & Drinks

    16:30–16:45: Introduction to Batch#5 of the AI Incubator

    16:45–17:30: Pitches from the AI Incubator Teams

    17:30–17:45: Keynote: Sciencepreneurship and AI

    17:45–18:15: Award ceremony

    18:15: Networking with drinks & fingerfood

     

    Registration

    Tickets for this event are sold out, registration is closed. 

     

    The AI Incubator

    The AI Incubator is a six-week program for AI talents with brilliant ideas. The program encourages scientists, technologists, and business talent to found their own companies, fostering the next generation of AI start-ups. The AI Incubator equips participants with the right knowledge, tools, and skills to transfer their cutting-edge AI and robotics research into products and applications.

    It covers topics such as, AI prototyping, product-market fit, business strategy, and funding. The program also provides participants with access to a network of experts, mentors, founders, and investors who offer guidance and inspiration on their journey into the AI business world.

    The AI Incubator is organized by Cyber Valley and funded by the Carl Zeiss Foundation. 

  • Cyber Valley celebrates the launch of ELLIS Institute Finland

    Cyber Valley celebrates the launch of ELLIS Institute Finland

    The new institute is part of the European Laboratory for Learning and Intelligent Systems (ELLIS) – a pan-European AI research network that is an important player in the Cyber Valley Community. It will position Finland as a key player in AI, attract international talent, and drive cutting-edge research. This announcement marks a major step towards achieving Cyber Valley’s vision of a closely connected, pan-European AI research network, strengthening Europe’s global standing in AI and machine learning.

    The Finnish Ministry of Education and Culture has pledged substantial financial backing, committing €10 million annually from 2025 to 2028, in addition to a launch-phase investment of €6 million. Further support comes from the Post Scriptum Foundation, established by Peter Sarlin, CEO and co-founder of Silo AI. Silo AI joined the Cyber Valley Community in June 2024 at Cyber Valley Days. The foundation has pledged an additional €10 million to fund up to 15 professorships at the ELLIS Institute Finland. 

    This ELLIS Institute, which will be based at Aalto University, is the second in the prestigious pan-European ELLIS network, following the establishment of the first institute in Tübingen, Germany, in 2023. Aalto University will lead the initiative in Finland, working collaboratively with other Finnish universities.

    The new institute will build on the achievements of the Finnish Center for Artificial Intelligence (FCAI), which currently hosts ELLIS Unit Helsinki—the Finnish node of ELLIS. Professor Samuel Kaski, director of FCAI and ELLIS Unit Helsinki, will play a central role in the development of ELLIS Institute Finland.

    This initiative underlines Finland’s commitment to becoming a major hub for AI research and innovation, leveraging its longstanding expertise to address both local and global challenges through AI-driven solutions.

    Cyber Valley is proud to support and collaborate with ELLIS Institute Finland. Together, we look forward to advancing European AI research, fostering collaborative innovation, and addressing global challenges through the power of intelligent systems. This marks a significant step in uniting Europe’s AI efforts, strengthening our shared goals and vision for a more connected, forward-thinking AI research ecosystem.

  • Cyber Valley unites AI and robotics expertise for the healthcare sector

    Cyber Valley unites AI and robotics expertise for the healthcare sector

    Stuttgart, October 28, 2024 – The Cyber Valley Health Cluster officially launched last Thursday with a public kickoff event in Tübingen. This initiative launched by Cyber Valley aims to unite the forces of science, industry, and start-ups to improve people’s long-term health through artificial intelligence and modern robotics. 

    Collaboration between research and industry for AI-driven health technologies 

    The Cyber Valley Health Cluster aims to integrate research, practice, and technology. It promotes joint projects between AI experts, scientists, and companies to develop innovative solutions for current and future challenges in the healthcare sector. The Health Cluster emphasizes interdisciplinary knowledge exchange, enabling new approaches and solutions that go beyond individual technological advances.  

    Rebecca C. Reisch, Managing Director of Cyber Valley GmbH, highlights the importance of this collaboration: “The Cyber Valley Health Cluster is more than an academic endeavor; it’s a collaborative alliance that encourages exchange between industry, start-ups, and research. The Health Cluster is where AI-based solutions can be developed to address the most pressing challenges in modern medicine and beyond.”

    Strong Cyber Valley Partners and Friends are already on board  

    The Cyber Valley Health Cluster is backed by strong partnerships. Among the already confirmed Cyber Valley Partners are well-known players such as Boehringer Ingelheim, ZEISS, the University of Tübingen, the University of Stuttgart, and the Max Planck Institute for Intelligent Systems (MPI-IS). These partners are investing significantly in the Cyber Valley Community and are playing a central role in the further development of the Health Cluster. 

    In addition, the Cyber Valley Health Cluster is supported by numerous committed Cyber Valley Friends who enrich the network with their expertise and connections. These include Immatics, Cegat, Ovesco, BIOPRO Baden-Württemberg, BioRegio STERN Management, as well as the Medical Innovations Incubator, and the start-ups Osora and Cerebri.  Further candidates are already under consideration.  

    Reisch emphasizes the role of the Cyber Valley Community: “Together with our Partners and Friends, we are creating an environment that drives the development of technologies that are not only groundbreaking but also practical and ethical. Because only by working together do we have the chance to establish Baden-Württemberg and the whole of Germany at the forefront of global AI health innovations.” 

    Long-term goal: a lasting healthcare alliance 

    The Cyber Valley Health Cluster supports start-ups and innovation projects to create real value by generating new jobs and health solutions. Health Cluster participants moreover benefit from extensive connections and new networking opportunities that enable the development of pioneering healthcare solutions and rapid knowledge transfer between research and industry. 

    The long-term goal of the Cyber Valley Health Cluster is to create a lasting and active community, pooling health expertise to enable interdisciplinary teams to tackle global health challenges. Further events and interaction formats are planned for the Cyber Valley Health Cluster in the coming months. 

    About Cyber Valley 

    Cyber Valley is Europe’s largest and leading center for excellence in artificial intelligence and modern robotics. Its mission and public mandate are to advocate for the research, development, application, and acceptance of technologies and methods in the field of intelligent systems. Cyber Valley encourages entrepreneurship by uniting scientific excellence with innovation and technology transfer. In addition, Cyber Valley facilitates critical reflection on the ethical and social implications of AI through public engagement. Cyber Valley envisions a future in which the full potential of intelligent systems is leveraged for the greater good of the world. 

    Media Contact: 

    Laura Neusser 
    Public Outreach Manager 
    Cyber Valley GmbH 
    laura.neusser@cyber-valley.de 

  • The Cyber Valley Start-up Network continues to grow

    The Cyber Valley Start-up Network continues to grow

    Medicalvalues:

    Medicalvalues develops AI-based solutions for integrated diagnostics, streamlining complex diagnostic decisions across various diseases. Their Order Intelligence software offers AI-supported digital ordering with modern report view. It supports customers in finding diagnoses with intelligent test suggestions and modern request and add-on ordering for special parameters. In addition to clinical chemistry, they also cover microbiology, genetics, hygiene, and other specialties.

    NECKAR:

    NECKAR manages finances proactively and focuses on growth by providing features like a financial dashboard for real-time reporting, as well as, tracking revenues and expenses. They use optical character recognition (OCR) to extract data from scanned documents, LLMs to interpret and categorize complex financial information, and provide insights by combining real-time data retrieval with AI-driven analysis.

    Yugen Space:

    Yugen Space is a space-tech start-up making Earth observation simple to tackle the world's most pressing environmental challenges. Their breakthrough AI platform turns satellite data into actionable insights, as easy to use as a Google search. The first step in their mission is focused on soil—creating precise nutrient and mineral maps from satellite data to monitor and enhance soil quality, predict and boost crop yields, and promote sustainability.

     

    Tetractys:

    Tetractys is a cutting-edge AI start-up that enhances AI accessibility for small and medium enterprises while boosting business revenue through innovative technology. It is developing a new generation of AI that is not only faster, more affordable, and user-friendly but it is also capable of real-time detection and analysis of relevant objects and events in data, featuring one-shot learning capability.

    In joining the Cyber Valley Start-up Network, these start-ups enhance the diversity and collaborative culture of the Cyber Valley Community. We are pleased to have them on board!

  • Cyber Valley Research Fund project optimizes focus and productivity

    Cyber Valley Research Fund project optimizes focus and productivity

    Unlike conventional attention training programs that rely on unrelated tasks or video games, ACTrain seamlessly integrates into the work environment, allowing users to enhance focus while actively engaged in their tasks. Users can specify the documents or applications on which they wish to concentrate and set a desired focus duration. The app then delivers real-time feedback on attention levels, transforming the workspace into a dynamic gym for strengthening focus and attention skills.  

    ACTrain uses a unique point system that is awarded based on a mathematical principle, which aligns short-term rewards with long-term value, helping users see the benefits of staying focused over time. The software is available for free on both Mac and Windows platforms at https://osf.io/8f6hx/. 

    Additionally, Lieder and his team collaborated with the non-profit organization Solve Education to integrate this point system into their educational game, The Dawn of Civilization, designed to help disadvantaged youth in developing countries learn English. An experiment revealed that this optimized point system led to significantly enhanced learning outcomes. 

    ACTrain is poised to redefine productivity and learning, enabling individuals to more effectively achieve goals and sustain focus in an ever more distracting world. 

    This project yielded the following peer-reviewed publications:  

    1. Wirzberger, M., Lado, A., Prentice, M., Oreshnikov, I., Passy, J.-C., Stock, A., & Lieder, F. (2024). Optimal feedback improves behavioral focus during self-regulated computer-based work. Scientific Reports, 14(3134). https://doi.org/10.1038/s41598-024-53388-3 
    2. Kukamjad, T., Pauly, R., Heindrich, L., Amo, V., & Lieder, F. (2024, May). Evaluation of Brain Point Intervention in The Dawn of Civilization. UCLA Psychology Undergraduate Research Conference.  https://doi.org/10.13140/RG.2.2.11284.48008 
    3. Pauly, R., Heindrich, L., Amo, V., & Lieder, F. (2022, June). What to learn next? Aligning gamification rewards to long-term goals using reinforcement learning. The 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM2022). https://doi.org/10.13140/RG.2.2.32661.19684 
    4. Teo. J., Pauly, R., Heindrich, L., Amo, V., & Lieder, F. (2021, June). Leveraging AI to support the self-directed learning of disadvantaged youth in developing countries. The first Life Improvement Science Conference. https://is.mpg.de/publications/paulyteoheindrichamolieder2021lisa-leveraging 
    5. Wirzberger, M., Lado, A., Eckerstorfer, L., Oreshnikov, I., Passy, J. C., Stock, A., Shenhav, A., & Lieder, F. (2020). How to navigate everyday distractions: Leveraging optimal feedback to train attention control. CogSci 2020. https://www.cognitivesciencesociety.org/cogsci20/papers/0380/ 
    6. Wirzberger, M., Oreshnikov, I., Passy, J., Lado, A., Shenhav, A., Lieder, F. (2020). ACTrain: Ein KI-basiertes Aufmerksamkeitstraining für die Wissensarbeit. 66th Spring Conference of the German Ergonomics Society. https://doi.org/10.13140/RG.2.2.14709.50406 

    Dr. Falk Lieder is now an Assistant Professor of Psychology at UCLA and the Director of the Rational Altruism Lab. 

  • Cyber Valley Research Fund improves human decision-making with AI

    Cyber Valley Research Fund improves human decision-making with AI

    From February 2020 to February 2024, Dr. Falk Lieder led a major project supported by the Research Fund, titled “A Scalable Machine Learning Approach to Improve Human Decision Making,”. The project aimed to prepare for a future where effective decision-making is crucial. 

    Good decision-making involves planning, gathering relevant information, and handling uncertainty. As automation transforms the workforce by taking over routine tasks, the demand for jobs requiring decision-making in complex and novel situations will rise. Future roles will emphasize critical thinking and adaptability. To prepare, society must focus on retraining workers and equipping the next generation with advanced decision-making skills. 

    Lieder’s project leveraged artificial intelligence to uncover optimal decision strategies that help individuals navigate complex challenges. The team also designed and tested interactive tutorials, allowing participants to learn and apply these strategies effectively. 

    They evaluated their approach on a series of more realistic decision problems, ranging from an abstract planning task without uncertainty, to planning under uncertainty, to a company choosing between alternative projects. In each case, the new AI methods found decision strategies that outperformed both human decision-making and strategies identified by previous techniques. 

    Their interactive tutorials improved decision-making by explaining the strategy in clear language, demonstrating it through examples, and offering hands-on practice with feedback. In all three applications, individuals who completed the AI-driven strategy tutorials made better decisions than those who practiced decision-making independently. 

    This project yielded the following peer-reviewed publications: 

    1.  Consul, S., Heindrich, L., Stojchewski, J., & Lieder, F. (2022), Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning, Computational Brain & Behavior, 5(2), 185-216. https://doi.org/10.1007/s42113-022-00128-3 

    2. Callaway, F., Jain, Y. R., van Opheusden, B., Das, P., Iwama, G., Gul, S., Krueger, P.M., Becker, F., Griffiths, T. L., & Lieder, F. (2022). Leveraging Artificial Intelligence to Improve People's Planning Strategies. PNAS, 119 (12) e2117432119. https://doi.org/10.1073/pnas.2117432119 

    3.  Mehta, A., Jain, Y. R., Kemtur, A., Stojcheski, J., Consul, S., Tosic, M., & Lieder, F. (2022). Leveraging machine learning to automatically derive robust decision strategies from imperfect knowledge of the real world. Computational Brain & Behavior, 5(3), 343-377. https://doi.org/10.1007/s42113-022-00141-6 

    4.  Becker, F., Skirzynski, J., van Opheusden, B., & Lieder, F. (2022). Boosting human farsightedness with automatically discovered planning instructions. Computational Brain & Behavior, 5(4), 467–490. https://doi.org/10.1007/s42113-022-00149-y 

    5. Skirzynski, J., Jain, Y. R., & Lieder, F. (2024). Automatic discovery and description of human planning strategies. Behavior Research Methods, 56(3), 1065-1103. https://doi.org/10.3758/s13428-023-02062-z 

    6. Skirzyński, J., Becker, F., Lieder, F. (2021). Automatic Discovery of Interpretable Planning Strategies. Machine Learning, 110, pp. 2641–2683. https://doi.org/10.1007/s10994-021-05963-2

    7. Kemtur, A., Jain, Y. R., Mehta, A., Callaway, F., Consul, S., Stojcheski, J., & Lieder, F. (2020). Leveraging machine learning to automatically derive robust planning strategies from biased models of the environment. Proceedings of the 42nd Annual Meeting of the Cognitive Science Society. 

    Preprints of articles yet to be published: 

    1. Heindrich, L., Consul, C. & Lieder, F. (2024). Leveraging AI to improve human planning in large partially observable environments. arXiv Preprint. https://arxiv.org/abs/2302.02785 

    2.  Heindrich, L., & Lieder, F. (2024). Leveraging automatic strategy discovery to teach people how to select better projects. https://arxiv.org/abs/2406.04082 

    Dr. Falk Lieder is now an Assistant Professor of Psychology at UCLA and the Director of the Rational Altruism Lab. 

  • Cyber Valley Days: Inclusive, diverse, and innovative

    Cyber Valley Days: Inclusive, diverse, and innovative

    In the following interview, Angelina Jukic, Program Manager at Cyber Valley GmbH, shares her experiences of the three-day event.

    What was your personal highlight during Cyber Valley Days?

    My personal highlight during Cyber Valley Days was The AI Incubator Demo Day. As program manager, I had the privilege of guiding young entrepreneurs and researchers as they developed their AI-driven business ideas, alongside my colleague Paul-David Bittner and three experienced coaches: Ralf Allrutz, Olga Mordvinova, and Michael Raschke. Watching the program participants confidently pitch their innovative solutions during Cyber Valley Days to a diverse audience of our community, such as investors and industry experts, was incredibly inspiring.

    What was the most memorable interaction you had during Cyber Valley Days?

    One of the most memorable interactions I had during Cyber Valley Days was meeting with our Japanese program partners. Our discussions were particularly enriching as we explored various opportunities for collaboration. We delved into potential projects that could benefit both our regions. The unique insights and innovative approaches they shared were not only enlightening but also opened exciting possibilities for future joint ventures. This interaction underscored the value of international partnerships and highlighted the global reach and impact of our AI initiatives.

    In what ways did Cyber Valley Days reveal the innovative, collaborative, and diverse culture of the Cyber Valley Community?

    The variety of sessions and activities, such as the Expo, the investor day, and more, allowed different AI communities within our company to come together and share their projects. The cross-functional interactions emphasized our collaborative spirit. Additionally, the diversity of ideas and perspectives presented throughout the event underscored our commitment to fostering an inclusive environment where innovations thrive.

    What was your biggest surprise?

    My biggest surprise during Cyber Valley Days was realizing just how large and diverse our AI community already is. It was impressive to see the range of different AI applications being developed within our community. All in all, Cyber Valley Days showed how our community has the potential to drive significant advancements in AI technology.

    Read further interviews with Alina Benze (Business Development Manager, Corporates), Rebecca Beiter (Director of Communication & Society), Janell Lia-Breitmeyer (Scientific Coordinator), and Paul-David Bittner (Business Development Manager, Start-ups) to discover their perspectives on Cyber Valley Days.