Night of biosignals
The second Night of Biosignals will take place on November 7, 2025. There will be presentations at 14 locations throughout Germany until late into the night, highlighting the great potential of biosignal research in the healthcare sector. Bremen is also taking part again, this year with a special focus on the cooperation between the universities of Bremen and Oldenburg. Under the motto "Hearable-centered assistance: From [...]
Bremen Symposium "AI in Health" 2025
On November 27, 2025, the U Bremen Research Alliance is hosting the fourth Bremen Symposium "AI in Health". The event will focus on artificial intelligence in healthcare: How can artificial intelligence create added value along the entire supply chain - from prevention, screening, diagnosis and treatment to rehabilitation and care? [...]
BBDC 2025 - Award ceremony
One more sleep, then it's time: on Friday, May 23, 2025, the award ceremony of the Bremen Big Data Challenge 2025 will take place in the Sparkasse Campus Space. Admission is from 13:30, the event starts at 14:00. This year's BBDC is a very special event: firstly, we are celebrating the tenth consecutive edition of the programming competition [...]
MindTalk: From cryptic distortions to distortional cryptography: is there a mosquito in my brain?
Prof. Dr. Jörg Albert Distortion of signals occurs as a disturbance in most human-made electronics, or human communication at large. At least so goes the general view. Accordingly, human engineers usually take a great effort - and a great pride - in reducing distortions to minimal levels. However, the engineers of evolution may beg to [...]
MindTalk: Visual distraction - event-related-potential markers and the dimension weighting account
Dr. Heinrich Liesefeld Despite the vivid subjective impression of a rich sensory world, people actually process only little information from their environment at a time. Which aspects of the world are processed under which conditions is studied in research on selective attention. Ideally, objects would be prioritized based on their relevance to current behavioral goals. [...]
MindTalk: Adaptivity in deep neural networks: the long road to lifelong learning
Prof. Dr. Martin Mundt Deep neural networks (DNNs) are often framed as being inspired by the brain. Although their advent has led to remarkable success stories and a plethora of large-scale applications, they however lack a key ability humans posses: the capacity for lifelong learning. That is, DNNs are primarily successful when trained on predefined training [...]
MindTalk: The impact of age-related hearing loss on brain structure and function
Prof. Dr. Christiane Thiel The presentation will provide an overview of our neuroimaging studies involving elderly volunteers with uncompensated age-related hearing loss. I will demonstrate that hearing loss enhances audiovisual integration but does not trigger cross-modal responses in the auditory cortex. Instead, we found increases in the functional connectivity of the auditory cortex to visual, [...]
MindTalk: AI for Neuroscience
Prof. Dr. Nergis Tömen Machine learning and neuroscience have a profoundly interconnected history with modern deep learning having its roots in neurophysiology. In the last couple of decades, breakthroughs in artificial intelligence (AI) and neuroscience have advanced our understanding of both domains and unveiled exciting new research opportunities at their intersection. Currently, AI can help [...]
MindTalk: Building a theory of sensory coding for active behavior
Prof. Dr. Wiktor Mlynarski Sensory systems are the brain's window to the world - they represent the organism's surrounding in order to enable successful action. To instantiate such representations efficiently and accurately, the brain must adapt to the structure of natural environments. However, nothing in the natural world is completely static - environments change, animals' [...]
ComAI Lecture: "Science Communication and Artificial Intelligence: How AI is Changing Public Communication about Science"
Prof. Dr. Mike S. Schäfer (University of Zürich) Abstract Generative AI - producing novel outputs based on extensive digital data and human training - is changing public communication profoundly. Citizens and communication professionals use it to communicate about political and economic topics, healthcare, technology and other issues, with potentially far-reaching implications. Scholars and pundits have [...]
