Thursday Morning Talk

Abstract: Tilman Geishauser is currently working at Somareality to create a virtual reality focused product out of a cognitive load algorithm based on pupillometry that has been in development for

Abstract: Social interaction and communication are supported by the integration of multimodal signals. One crucial social cue when interacting with other humans are facial expressions. In Project 8, we study

(In-person talk at Science of Intelligence) Workshop: Discussing ethically problematic “incidents” of AI systems In the Thursday morning talk, we discuss ethically problematic incidents of AI that we selected from the

Abstract: The abundance of available data on the one hand, and the increase in systems complexity caused by the need to cope with new challenging tasks on the other, have

A cornerstone of SCIoI are the three example behaviors that provide the motivation, as well as the demonstration platforms to showcase the amazing research happening within the cluster. In order

Abstract:Theories of learning from multimodal sources (e.g., combinations of text and pictures, aka multimedia) posit that in order to effectively learn from multimedia, students need to select information from text

Abstract: Collective dynamics play a crucial role in everyday decision-making. Whether social influence promotes the spread of accurate information, and ultimately results in collective intelligence, or leads to false information

Abstract: I will present our current research involving the Robofish. I will put a special focus on our latest research paper that found live fish to be able to anticipate

From writing essays to evaluating potential hires, machines are doing a lot these days. In all spheres of life, it seems that machines are being delegated more and more decisions.

More details to follow. Photo by DeepMind on Unsplash This talk will take place in person at SCIoI.  

Abstract: As many of us know by now, Deep Learning has enabled tackling very challenging problems and applications that were previously almost impossible to solve with machine learning. However, for

Abstract: The BUA-funded experimental knowledge transfer project CollActive Materials, a collaboration between the Clusters of Excellence Science of Intelligence and Matters of Activity, encourages speculation on what the future has