Artificial Intelligence (AI)

Whether in medicine, agriculture or the automotive industry: Artificial intelligence (AI) is a key technology that is already shaping our lives significantly. At TUM, we are investigating and developing intelligent systems, while keeping an eye on our responsibility for people and society at all times. Find out what's new in the fields of AI, robotics, machine learning and data science.


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    • Artificial Intelligence, TUM in the media

    "You did watch Iron Man – that's my job"

    Professor Sami Haddadin at Terra X plus Schule by ZDF

    How do you become a robotics researcher? Do you have to study something specific? How do you teach robots to think and act and what does the everyday life of a professor look like? Prof. Sami Haddadin, Director of the Munich School of Robotics and Machine Intelligence (MSRM) at the Technical University of Munich (TUM) answers these questions in a new episode of the video series "Superjob" by ZDF Terra X plus Schule.

  • Woman with laptop in front of server racks.
    • Artificial Intelligence, Studies
    • Reading time: 2 MIN

    Free online course on ethics in AI

    20 lectures, universities all over the world, various subjects

    Do carebots care? AI for whom? Will the market deliver? In the new online course AI Ethics: Global Perspectives, 20 experts from various disciplines and countries explore ethical questions arising with the development of artificial intelligence. The lecture series, available free of charge to all, was created by the TUM Institute for Ethics in Artificial Intelligence, the New York University and the Global AI Ethics Consortium.

    • Artificial Intelligence, Research news
    • Reading time: 4 MIN

    Robots could safeguard people from pain

    Interview: Why robots need reflexes

    Reflexes protect our bodies – for example when we pull our hand back from a hot stove. These protective mechanisms could also be useful for robots. In this interview, Prof. Sami Haddadin and Johannes Kühn of the Munich School of Robotics and Machine Intelligence (MSRM) of the Technical University of Munich (TUM) explain why giving test subjects a “slap on the hand” could lay the foundations for the robots of the future.

  •  Aktiv selbst lernend bewegt sich der Algorithmus immer weiter durch die unendlichen Weiten des molekularen Raums und schlägt immer wieder neue Moleküle vor, die die Basis für die nächste Generation von Solarzellen sein könnten.
    • Artificial Intelligence, Research news
    • Reading time: 3 MIN

    Towards new solar cells with active machine learning

    Fewer requirements let artificial intelligence discover new materials

    A research team from the Technical University of Munich (TUM) and the Fritz Haber Institute in Berlin uses active machine learning in the search for suitable molecular materials for new organic semiconductors, the basis for organic field effect transistors (OFETs), light-emitting diodes (OLEDs) and organic solar cells (OPVs). To efficiently deal with the myriad of possibilities for candidate molecules, the machine decides for itself which data it needs.

  • Prof. Job Boekoven (left) is the coordinator of the TUM Innovation Network Robot Intelligence in the Synthesis of Life (RISE).
    • Artificial Intelligence, Campus news
    • Reading time: 1 MIN

    TUM Innovation Networks ready to go

    Interdisciplinary research off to a new start

    The Technical University of Munich (TUM) will use its interdisciplinary TUM Innovation Networks to create even more space for scientific creativity and groundbreaking developments. The first three TUM Innovation Networks address the diagnosis and treatment of psychological illnesses using Artificial Intelligence (AI), the development of novel materials using machine learning, and investigation of the nature of life using chemical and biophysical experiments in combination with AI and robotics.

    • Artificial Intelligence, Mobility, Research news
    • Reading time: 3 MIN

    New early warning system for self-driving cars

    AI recognizes potentially critical traffic situations seven seconds in advance

    A team of researchers at the Technical University of Munich (TUM) has developed a new early warning system for vehicles that uses artificial intelligence to learn from thousands of real traffic situations. A study of the system was carried out in cooperation with the BMW Group. The results show that, if used in today’s self-driving vehicles, it can warn seven seconds in advance against potentially critical situations that the cars cannot handle alone – with over 85% accuracy.

  • Prof. Wolfgang Kellerer in his lab.
    • Artificial Intelligence, Mobility, Research news
    • Reading time: 6 MIN

    “6G will be human-focused”

    Prof. Wolfgang Kellerer on the next wireless communications generation

    From hologram-based communications to remote-controlled surgical procedures – the 6G wireless standard will make many high-tech applications a reality. A major project now being launched at the Technical University of Munich (TUM) aims to establish the key technical criteria for the new standard. In this interview, project leader Prof. Wolfgang Kellerer explains how 6G will become the most intelligent wireless network, when Germany could take on a leading role and why, in the world of research, new speed records are less important than ensuring 99.999999999% reliability.

  • Erstautor Žiga Avsec an seinem Arbeitsplatz im Home office
    • Artificial Intelligence, Research news
    • Reading time: 4 MIN

    Artificial intelligence deciphers genetic instructions

    Deep learning algorithms reveal the rules of gene regulation

    With the help of artificial intelligence (AI) a German-American team of scientists deciphered some of the more elusive instructions encoded in DNA. Their neural network trained on high-resolution maps of protein-DNA interactions uncovers subtle DNA sequence patterns throughout the genome, thus providing a deeper understanding of how these sequences are organized to regulate genes.