The latest from studies, research and campus life.
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GyroTrainer with artificial intelligence
Individual back training machine developed
Scientists at the Technical University of Munich (TUM) in cooperation with partner companies have developed a device to provide back muscle training. With the GyroTrainer, back strengthening exercises are adapted to the strength and ability of the individual user.
TUM professor develops an energy-saving AI chip
Hussam Amrouch has developed an AI-ready architecture that is twice as powerful as comparable in-memory computing approaches. As reported in the journal Nature, the professor at the Technical University of Munich (TUM) applies a new computational paradigm using special circuits known as ferroelectric field effect transistors (FeFETs). Within a few years, this could prove useful for generative AI, deep learning algorithms and robotic applications.
ERC Synergy Grant for Prof. Julien Gagneur
A chatbot for gene regulation
The European Research Council (ERC) today awarded 37 particularly well-funded Synergy Grants across Europe. One of these interdisciplinary research awards went to Julien Gagneur, Professor of Computational Molecular Medicine, together with researchers from the VIB-KU Leuven Center for Microbiology (Belgium) and the Karolinska Institute (Sweden). In an interview, the scientists provide insights into their research project EPIC.
Hope for treatments for type 2 diabetes and hypertension
Evolutionary history of three-finger snake toxins decoded
Snakebites cause around 100,000 deaths worldwide every year. Researchers at the Technical University of Munich (TUM) have investigated how the toxin emerged between 50 and 120 million years ago through the modification of a gene that also occurs in mammals and other reptiles. The results could help with the development of better snakebite treatments and lead to new knowledge for the treatment of illnesses such as type 2 diabetes and hypertension.
NewIn: Barbara Kraus
“Quantum computers will lead to previously unknown applications”
In the this episode of our "New In" series, we introduce Prof. Barbara Kraus. The physicist is looking for computable rules regarding the behavior of quantum systems to facilitate reliable new applications.
"One Topic, One Loop": Enkelejda Kasneci
Generative AI: Knowledge creates trust
Generative AI for all? To conclude our global discourse series "One Topic, One Loop", Enkelejda Kasneci, Professor of Human-Centered Technologies for Learning at the TUM School of Social Sciences and Technology, reflects on the key findings from all the contributions.
Fresh impetus for data science
TUM opens Munich Data Science Institute
The Technical University of Munich (TUM) is celebrating the official launch of the Munich Data Science Institute (MDSI). As a central element of TUM AGENDA 2030, it is funded under the Excellence Initiative of the German government and the federal states. The MDSI pools the strengths of TUM in data sciences, machine learning and artificial intelligence (AI), from basic research to interdisciplinary applications. It will also teach data skills to master’s students, researchers and professionals.
Opportunities for cancer treatment and wound healing
Microrobots for the study of cells
A group of researchers at the Technical University of Munich (TUM) has developed the world’s first microrobot (“microbot”) capable of navigating within groups of cells and stimulating individual cells. Berna Özkale Edelmann, a professor of Nano- and Microrobotics, sees potential for new treatments of human diseases.
One Topic, One Loop: Sune Lehmann Jørgensen
Shaping Generative AI in international alliances
In the "One Topic, One Loop" series, four professors from four countries share their views on Generative Artificial Intelligence (AI). In this episode, Sune Lehmann Jørgensen from the Technical University of Denmark (DTU) emphasizes his belief in the need for broad international collaboration to ensure transparency and equal access to Generative AI.
One Topic, One Loop: Jerry John Kponyo
Inclusivity and responsible AI
In the third part of our global discourse series "One Topic, One Loop", Prof. Jerry John Kponyo from Kwame Nkrumah' University of Science and Technology (KNUST) in Ghana explores the concept of responsible AI. He emphasizes the importance of ethical, transparent, and inclusive approaches, describes how Afrocentric datasets are generated at KNUST's Responsible AI Lab, and ends with a question for Prof. Sune Lehmann Jørgensen of the Technical University of Denmark.