Heiner Spieß (Science of Intelligence), “Tools to study the generality of Deep Neural Network Representations”
More details to follow. This talk will take place in person at SCIoI.
More details to follow. This talk will take place in person at SCIoI.
More details to follow. This talk will take place in person at SCIoI.
Abstract: Robot swarms have the potential to assist us with simpler logistics in persistent missions involving vast scenarios. Robot swarms also promise added resilience to complete their objectives despite unforeseen difficulties. However, current demonstrations of swarm technology in unstructured environments only count on single-digit individuals. That is farther from what one would expect from the
Abstract: Over the last 20 years, it has been shown that birds and mammals are startlingly similar in their cognitive repertoire. Even the most intelligent taxa from each group – great apes and large corvids and parrots – match each other in most domains of cognition. This functional similarity is remarkable considering that birds and
Abstract: While advances in automated fact-checking are critical in the fight against the spread of misinformation in social media, we argue that more attention is needed in the domain of unfalsifiable claims. In this talk, we outline some promising directions for identifying the prevailing narratives in shared content (image & text) and explore how the
This year, SCIoI is once again delighted to be part of Girls' Day, an event dedicated to offering school-aged girls the opportunity to explore new experiences and gain insights into the realm of STEM related research. This time around, our researchers Palina Bartashevich, Asieh Daneshi, Soledad Traverso, Anna Lange, and David Mezey, with the help
Abstract: What is a useful skill hierarchy for an autonomous agent? In this talk, we will consider a possible answer based on a graphical representation of how the interaction between an agent and its environment may unfold. The proposed approach uses modularity maximisation as a central organising principle to expose the structure of the interaction
More details to follow. This talk will take place in person at SCIoI (room 2.057).
More details to follow. This talk will take place in person at SCIoI (room 2.057).
More details to follow. This talk will take place in person at SCIoI. Photo by: Rodrigo Friscione Wyssmann.
More details to follow. This talk will take place in person at SCIoI.
Abstract: Machine Learning (ML) systems typically yield definitive outputs, even when the underlying probabilities do not justify a decision. This poses a significant challenge in medical applications, where patients rely on individualized diagnoses, treatments, and prognoses. A recent advancement in ML research addresses this issue by introducing so-called “abstention models,” which enable ML systems to