Jan Philipp Hofmann, Bettina Wagner and Corinna Caspar-Terizakis

An alliance like Unite! requires a great deal of commitment and dedication. This year's winners of the Unite! Awards have done so in a particularly remarkable way. Jan Philipp Hofmann, Bettina Wagner and Corinna Caspar-Terizakis from TU Darmstadt received the Unite! Award for their contribution to promoting young scientists.

Text-to-image generators reproduce and magnify role stereotypes

Researchers at Technical University of Darmstadt and the Technical University of Munich (TUM) and have studied how text-to-image generators deal with gender stereotypes in various languages. The results show that the models not only reflect gender biases, but also amplify them. The direction and strength of the distortion depends on the language in question.

UKP Lab transfers further development of Sentence Transformers to Hugging Face

The Ubiquitous Knowledge Processing (UKP) Lab at Technische Universität Darmstadt has officially transferred the stewardship and further development of Sentence Transformers, one of the world’s most widely used open-source libraries for semantic embeddings, to Hugging Face. The open-source software originated from research at the UKP Lab in 2019 and has since become one of the most important resources for artificial intelligence (AI) in language processing (Natural Language Processing, NLP). It enables entire sentences to be represented in such a way that computers can capture and compare their meaning.

Doctoral student Theresa Nolte on her medical technology studies – fifth and final part of a series

While searching for an application-oriented engineering degree programme, Theresa Nolte came across medical technology. In this interview, the 27-year-old, who graduated in 2024, talks about what particularly motivated and surprised her during her studies.

Doctoral student Phil Reize on his studies in medical technology – part four of a five-part series

For Phil Reize, the medical technology degree programme brought together two of his interests: electrical engineering and medicine. In this interview, the 24-year-old, who graduated in October 2023, looks back on his studies – and gives first-year students an important tip.

Use of Artificial Intelligence in the Diagnosis and Treatment of Mental Disorders

Researchers led by Computer Science Professor Iryna Gurevych at TU Darmstadt and the Indian Institute of Technology (IIT) Delhi are addressing a key question: How can AI-based tools in the mental health domain be designed to reliably protect patient privacy?

Graduate Ellen Bräuer on her medical technology studies – part three of a five-part series

Ellen Bräuer took up medical technology as a second degree rather by chance during her bachelor's studies and then switched to it completely for her master's degree. In this interview, the 33-year-old, who graduated in April 2024 and now works as a medical physicist, talks about her experiences – including the oddest ones.

Welcome Guide Now Live

The next Unite! Dialogue will soon take place at Aalto University, and the official Welcome Guide, including everything you need to know about the Dialogue, is now live. Themed “Connect and Collaborate”, the Dialogue will take place in Espoo, Finland between 6-9 October 2025. The event will bring together students, researchers, staff, and faculty from across Europe to strengthen partnerships in education, research, and innovation. The programme features community meetings, a parallel programme for early-career academics, and Mix & Match workshops designed to spark new collaborations.

From idea to start-up

In September 2025, the 3rd ryon Start-up Summer School took place in Darmstadt, organized by the Centre for Synthetic Biology and the ryon GreenTech Accelerator. The program is designed for young scientists and aims to transform research ideas from the field of synthetic biology into groundbreaking start-up concepts.

Interview with the Deans of Studies for the RMU joint degree programme “Medizintechnik” – part two of a five-part series

Together with Goethe University Frankfurt as a partner in the Rhine-Main Universities (RMU) alliance, TU Darmstadt has been offering the Medizintechnik programme since 2018. The two Deans of Studies, Anja Klein and Miriam Rüsseler, look back on the beginnings and venture a prediction for the future.

A degree program by the strategic alliance of the Rhine-Main Universities (RMU)

Engineering meets medicine: About seven years ago, the joint degree programme Medizintechnik between TU Darmstadt and Goethe University Frankfurt was launched. Since then, 132 students have successfully completed the programme. A five-part series focuses on this unique programme, which is embedded in the strategic alliance of the Rhine-Main Universities (RMU). The series kicks off with a video providing an overview of everything you need to know about Medizintechnik.

TU professor Kersting assesses the significance of the DeepSeek-R1 AI language model

Training large language models is costly and resource-intensive. At the beginning of the year, Chinese provider DeepSeek introduced a so-called reasoning language model that achieved results similar to those of established models but required fewer resources for training and operation. TU Professor Kristian Kersting from the Department of Computer Science has now commented in a detailed statement for the Science Media Centre Germany (SMC) on the effects of training without human feedback and the advantages and disadvantages of the model.

hoch³ Visual Story: Athene Young Investigators 2025 In Profile

Resolutions passed by State Parliaments

In their respective plenary sessions on 11 September 2025, the Hessian State Parliament and the Rhineland-Palatinate State Parliament unanimously passed two identical resolutions to strengthen the transregional Rhine-Main science region.

European Research Council funds two projects at TU Darmstadt with ERC Starting Grants

Two early-career researchers at TU Darmstadt have been awarded Starting Grants by the European Research Council (ERC) for their excellent and innovative fundamental and pioneering research. Professor Grace Li Zhang and Dr.-Ing. Arne Scholtissek will each receive 1.5 million euros over a period of five years for their projects on neural networks and simulations for CO₂-neutral energy sources.