News

  • The applications for SE3 Labs’ technology range from defense and security to smart infrastructure and construction, as well as industrial applications. Image: SE3 Labs

    Startup SE3 Labs develops spatial AI

    How autonomous systems learn to understand their environment

    06 July 2026 | Generative AI like ChatGPT can write text, generate images, and even write code. But when it comes to the physical world, these models reach their limits. They have only a limited understanding of spaces and changes in the environment. The team at the startup SE3 Labs has developed a spatial AI technology that uses images, videos, and map data to create realistic 3D models.

  • The Soft-Hand exoskeleton assists people with paralysed hands. Image: Astrid Eckert / TUM

    Cost-effective high-tech solution

    Special glove helps people with paralyzed hands grasp objects

    06 July 2026 | TUM has developed a soft, pneumatic glove that restores the ability of people with paralyzed hands to grasp objects. To achieve this, researchers at the TUM Chair of Cognitive Systems use electrical signals from the forearm muscles to reliably predict when a person intends to grasp an object.

  • The DNA origami switch can be toggled by an electric field within milliseconds. Image: Astrid Eckert / TUM

    Robust electrically controllable DNA switch developed

    Programmable molecular machines are getting closer

    03 July 2026 | The development of programmable molecular machines is moving closer. Researchers at TUM have now developed an extremely reliable and stable DNA switch. It can be controlled electrically and used to regulate molecular functions.

  • A team led by Daniel Rückert, professor of AI in Healthcare and Medicine (photo), and Prof. Georg Kaissis of the Hasso Plattner Institute in Potsdam has discovered that medical AI is more vulnerable to certain attacks than previously thought. Image: Juli Eberle / TUM

    Attackers can extract information about individual patients from AI models

    Study reveals privacy risks in medical AI

    30 June 2026 | AI models – for example, those used for cancer detection – are trained on patients’ health data. In “Nature”, a research team now shows that, using the right methods, this sensitive information can be extracted from models far more effectively than previously thought.

  • Researchers at the presentation of the funding notifications for the M1 “Innovations for Patients” funding line. Image: Axel König / StMWK

    M1 Munich Medicine Alliance launches “Innovations for Patients” program

    Seven projects to advance medicine

    22 May 2026 | The M1 Munich Medicine Alliance of TUM, LMU, and Helmholtz Munich is awarding funding for cutting-edge translational research from Munich for the first time. Through the “Innovations for Patients” program, seven research projects will receive a total of 7.45 million euros. Two of the cross-institutional projects are coordinated by PIs at MIBE.

  • Image: Andreas Heddergott / TUM

    Tool for better control of stem cell development

    Reading genetic activity from living cells without destroying them

    05 May 2026 | Until now, studying the genetic processes in cells required destroying them - making it impossible to observe these processes over extended periods of time. A team from TUM and Helmholtz Munich has developed a new method to repeatedly obtain up-to-date genetic information from living cells.

  • Innovative Collaborative Projects at the Munich Institute of Biomedical Engineering

    Sustainable Extraction of Critical Raw Materials from Water

    27 April 2026 | Lithium and rare earth elements are essential for batteries, fuel cells and many other future technologies. Researchers at MIBE are working on two collaborative projects to develop new, environmentally friendly methods of extracting these elements from water.

  • Researchers from Professor Gordon Cheng’s ERC project “STROLL” supervised the Tienkung Ultra robot in Beijing. Pictured (from left to right): Dr Julio Rogelio Guadarrama Olvera, Simon Armleder, Prof. Gordon Cheng, Xiangyu Fu. Image: TUM

    Beijing Robot Half Marathon

    TUM team won the “Best International Team Award”

    24 April 2026 | At the half-marathon race for humanoid robots in Beijing, the team from TUM won the prize for best international team. The robot, entered into the race by MIBE PI and TUM Professor Gordon Cheng, completed the 21-kilometre course in 3 hours and 35 minutes.

  • The research team, led by Prof. Arthur Konnerth (right), Dr. Yang Chen (left), and PhD student Marinus Kloos at the Institute of Neuroscience at the TUM School of Medicine and Health. Image: Astrid Eckert / TUM

    1981 Nobel Prize-winning model confirmed correct

    Proof for theory of visual perception

    02 April 2026 | A scientific dispute spanning six decades about fundamental mechanisms of visual perception in mammals has now been settled. Researchers at TUM have succeeded in observing the visual information flow from neuron to neuron. Their findings confirm the validity of the 1981 Nobe Prize-winning model by David Hubel and Torsten Wiesel, which had remained controversial in some aspects.

  • Stephanie E. Combs, professor of Radiation Oncology Image: TUM

    Podcast "We are TUM"

    A look inside the School of Medicine and Health

    01 April 2026 | In this episode of "We are TUM", the TUM School of Medicine and Health, which was founded in 2023 as part of TUM's structural reform, gets looked at more closely. Founding Dean Stephanie E. Combs shares insights into how the School was established and how it is developing.