Event Month: January

  • VC Ask-Me-Anything: Insights for Future Founders & Researchers

    VC Ask-Me-Anything: Insights for Future Founders & Researchers

    This event is aimed especially at PhD Students, researchers, and aspiring founders in Tübingen who would like to gain first-hand insights into how venture capitalists think and build early connections without the pressure of pitching.

    The event is jointly organized by the Tübingen AI Center and Cyber Valley GmbH. 

    Participants

    Meet Representatives from:

    What to expect

    • Insights into how venture capitalists evaluate early-stage companies

    • Practical advice on fundraising, market trends, and early start-up decisions

    • An open Q&A in an informal setting

    • Networking over pizza and drinks after the session

     

    The panel will be moderated by Professor Peter Gehler focused on tech transfer at Tübingen AI Center.

  • European Sovereignty in the AI Era

    European Sovereignty in the AI Era

     

    The discussions will center around key questions regarding the current European regulatory framework concerning transparency, fairness, and accountability, as well as the establishment of a robust European data governance framework. Within this overarching theme, the focus will be on the transformative impact of artificial intelligence on the efficiency of public institutions.

    How can we ensure the ethical use of AI technologies within public institutions? How can governments guarantee transparency in AI decision-making processes and address and mitigate biases in AI algorithms used in public services? How are governments tackling the security challenges associated with AI applications in critical areas such as defense and national security? Furthermore, what initiatives are being undertaken to enhance the AI literacy and skills of public servants?

    Finally, the aim is to address the role of investments and capital for start-ups and academic institutions in Europe to ensure sustained growth and competitiveness in the AI sector. Eager engagement in insightful conversations and collaborative exploration at this event is anticipated.

     

    When

    Thursday, January 18th, 2024

     

    Where

    AI House Davos

     

    Speakers

    • Jonas Andrulis: Founder, Aleph Alpha
    • Christian Lindner: Federal Minister of Finance, Germany
    • Dr. Rainer Esser: CEO, DIE ZEIT
    • Jochen Wegner: Editor in Chief, ZEIT Online, Moderator
  • Tübingen AI Talk Series with Prof Niklas Boers

    Tübingen AI Talk Series with Prof Niklas Boers

     

    The Earth’s climate is a highly complex system and as such many processes and phenomena cannot be resolved in terms of fundamental physical equations, either because they are unknown or because they would be to costly to explicitly include in numerical simulations. While there is a long history of complementary, data-driven modelling approaches, recent developments in deep learning promise substantial advances.

    Here Prof. Boers presents some recent results on machine learning approaches to address several challenges in nonlinear Earth system dynamics, including the prediction of climate phenomena such as monsoon onsets or ENSO, hybrid modelling combining process-based with deep learning model components, as well as bias correction and downscaling of Earth system models with generative machine learning models.

     

    About Prof. Niklas Boers:

    Niklas Boers is professor of Earth system modelling at the Technical University of Munich, leads the Future Lab on Artificial Intelligence at the Potsdam Institute for Climate Impact Research, and is Honorary Professor of Mathematics at the University of Exeter. He obtained his PhD from Humboldt University Berlin and spent several years at the ENS Paris and Imperial College London. As a physicist and mathematician by training, he studies theoretical climate dynamics with a combination of physical and data-driven approaches. In his research he develops methods rooted in dynamical system theory, complexity, science, and machine learning and applies them to different problems of nonlinear dynamics, with a focus on modelling and predicting extreme events and abrupt transitions in the Earth system.

     

    Date and Time: 25.01.2024 at 11 a.m. sharp
    Location: MvL6 Lecture Hall

     

    1-on-1 Meetings and Dinner:

    Niklas Boers is available for 1-on-1 meetings during the day; sign up here.
    If you're interested in joining for dinner, please indicate your preference in the same form.

     

  • European funding opportunities for Start-ups

    European funding opportunities for Start-ups

     

    During this 60-minute webinar, start-ups will learn about Europe's stance on AI and dive deeper into funding opportunities available for AI and digitalization support at the European level. The webinar will help participants understand how to navigate the EU funding landscape, and what kind of support mechanisms are available for AI start-ups. This event will take place in English. 

     

    Date & Time

    January 23rd, 2024 – 16:00 CET

     

    Speakers

     

     
    Registration

    Please register here.

  • AI House Davos: Open Source

    AI House Davos: Open Source

     

    Open-source practices have been foundational in the development of today’s digital technologies. Rapid advances in capabilities of frontier AI models have brought new attention to these practices, as policymakers grapple with open source’s role in AI safety. These debates highlight tensions between open source as a tool for innovation and scrutiny, and concerns about unconstrained proliferation of powerful dual-use technologies. The question that follows is how to leverage open-source development to enable innovation without enabling harm; how can we use these approaches for safe and socially beneficial technology development, while also reducing AI risks?

     

    When?

    Tuesday January 16, 2024, 12:30-13:30 CET

     

    Where?

    Valley Stage, AI House Davos, Promenade 68, 7270 Davos Platz

     

    Format

    • Networking lunch with panel discussion

     

    Moderator and session coordinator: 

    • Jessica Montgomery, Director AI@Cam, University of Cambridge

     

    Speakers

    • Bernhard Schölkopf, Professor – Max Planck Institute for Intelligent Systems & ETH
    • Neil Lawrence, University of Cambridge – Professor of Machine Learning
    • Yann LeCun, Meta – VP & Chief AI Scientist


    Further information

    Register

  • AI House Davos

    AI House Davos

     

    Join the launch of an international computation and AI network of excellence initiative. We're embarking on an initiative to balance AI development globally, focusing on computing, data, and AI research, aligned with the UN SDGs. Discover use cases and our incubation phase roadmap in an interactive session with Q&A.

     

    When?

    Wednesday January 17, 2024, 13:40-14:00 CET

     

    Where?

    Mountain Stage, AI House Davos, Promenade 68, 7270 Davos Platz

     

    Format

    • Announcement

     

    Moderator and session coordinator: 

    • Katharina Frey, Deputy Head Digitalisation Division, Swiss Foreign Ministry of Federal Affairs

     

    Speakers

    • Alexandre Fasel, State Secretary – Federal Department of Foreign Affairs Switzerland FDFA
    • Andreas Krause, Academic Chair – ETH AI Center
    • Bernhard Schölkopf, Professor – Max Planck Institute for Intelligent Systems & ETH
    • Ciira Maina, Director Data Science Africa – Dedan Kimathi University of Technology
    • Thomas Schulthess, Director – Swiss National Supercomputing Center (CSCS)


    Further information

    Register

  • AI House Davos: Catalyzing AI tech transfer in Europe

    AI House Davos: Catalyzing AI tech transfer in Europe

     

    It will address the facilitation of cross-sector AI innovation (like ELLIS), discussing the synergy between academia, industry, and government to accelerate tech transfer, drive economic growth, and meet societal needs with cutting-edge AI solutions.

     

    When?

    Wed, 17. January 2024, 10:30 – 10:55

     

    Format

    • Round table
    • Open to the press

     

    Speakers

    • Bernhard Schölkopf, Professor – Max Planck Institute for Intelligent Systems & ETH
    • Alexander Diehl, Investor & Entrepreneur
    • Rebecca C. Reisch, CEO Cyber Valley

     

    Moderator

    • Julian Enz, Chief Innovation Office, Cyber Valley


    Further information