Thursday Morning Talk

Abstract: Research in robotics and A.I. aims at optimizing very specific task rewards. Intelligent animals have a high degree of curiosity, and recent results have shown that instrumental reward optimization

Abstract: Animals are equipped with a rich innate repertoire of sensory, behavioral and motor skills, which allows them to interact with the world immediately after birth. At the same time,

Minimize Surprise in Robots: An Innate Motivation for Collective Behavior After a quick overview of other related research projects in my lab (bio-hybrid systems, swarm performance, collective decision-making), I will

BIO: Michael Pauen is a philosopher with a focus on the philosophy of mind. As the academic director of an interdisciplinary graduate school, he has extensive experience in interdisciplinary research

All animal ethical positions are largely in agreement that animals – as beings capable of suffering – must be morally considered for their own sake and that certain consequences for

Finding flexible tool use and manufacture in non-specialized animals, may contribute to our understanding of the origins of tool-related cognition. Goffin's cockatoos are Indonesian parrots that originate from a small

Abstract: Understanding and recreating intelligence is possibly the biggest scientific challenge of our time. Evolution has produced organisms that are highly specialised for some cognitive tasks, whereas others present what

Abstract: Rasmus Rothe is Co-Founder at Merantix, the Artificial Intelligent Venture Studio. In this talk he will give insight into how a deep tech startup is built via ideation, incubation

Abstract:  I argue that artificial intelligence research has been both fuelled and hindered by the use of ‘model tasks’, that is, tasks the solution of which are taken to be

Through a talk followed by a discussion and Q&A, AI Director at Science & Startups Tina Klüwer will explore the joint programmes and resources offered by Berlin's universities to those

Abstract: Models of vision have come far in the past 10 years. Deep neural networks can recognise objects with near-human accuracy, and predict brain activity in high-level visual regions. However,

Abstract: Choice architecture suggests that much of what we decide is influenced by that options are presented. This means that the choice environment can encode intelligence that will help (or