Nacht der Biosignale
am 07.11.2025 findet die zweite Nacht der Biosignale statt. An 14 Standorten deutschlandweit gibt es bis spät in die Nacht Vorträge, die das große Potenzial von Biosignalforschung im Gesundheitswesen beleuchten. Bremen ist auch wieder dabei, dieses Jahr mit einem besonderen Fokus auf die Kooperation der Unis Bremen und Oldenburg. Unter dem Motto „Hearable-zentrierte Assistenz: Vom […]
Bremer Symposium „AI in Health“ 2025
Am 27. November 2025 veranstaltet die U Bremen Research Alliance das zum vierten Mal stattfindende Bremer Symposium „AI in Health“. Die Veranstaltung stellt Künstliche Intelligenz im Gesundheitswesen in den Mittelpunkt: Wie kann Künstliche Intelligenz entlang der gesamten Versorgungskette – von Prävention, Screening, Diagnose und Behandlung bis hin zu Rehabilitation und Pflege – einen Mehrwert schaffen? […]
BBDC 2025 – Preisverleihung
Noch einmal schlafen, dann ist es soweit: am Freitag, den 23. Mai 2025 findet im Sparkasse Campus Space die Preisverleihung der Bremen Big Data Challenge 2025 statt. Ab 13:30 ist Einlass, um 14:00 Uhr geht es los. Die diesjährige BBDC ist ein ganz besonderes Event: erstens feiern wir die zehnte Ausgabe den Programmierwettbewerbs in Folge […]
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 […]
