More details to follow. This talk is part of David Mezey's course “Introduction to Modeling Collective Behavior, ” a seminar on collective behavior research, combined with multiple interactive elements.
Despite current advances in artificial intelligence, many people remain convinced that machines are still far from being able to really experience, for example, the redness of a sunset, the pain
Dive into the wonderful world of research of the seven Berlin Clusters of Excellence: from literature to chemistry, from politics to AI, you and your team can find answers for
More details to follow. This talk is part of David Mezey's course “Introduction to Modeling Collective Behavior, ” a seminar on collective behavior research, combined with multiple interactive elements.
More details to follow. Photo by lance Anderson on Unsplash.
The study of animal behavior is rapidly changing due to recent advances in long-term recording and automated analysis. Here we use these new developments to characterize mouse behavior via their
More details to follow. This talk is part of David Mezey's course “Introduction to Modeling Collective Behavior, ” a seminar on collective behavior research, combined with multiple interactive elements.
Abstract Understanding the computational principles of embodied intelligence is central to advancing robotic systems that perceive and act in complex environments. This talk explores key principles—low power consumption, robustness, and
Dive into the wonderful world of research of the seven Berlin Clusters of Excellence: from literature to chemistry, from politics to AI, you and your team can find answers for
In this talk Jens Krause will discuss the adaptive value of collective behaviour from different perspectives. One perspective is the potential ability of groups or collectives to make better and
More details to follow. Photo by David Clode on Unsplash.
Martina Poletti's talk will focus on active foveal vision. Vision is an active process even at its finest scale in the 1-deg foveola, the visual system is primarily sensitive to
Marchstr. 23 – MAR 5-2
10587 Berlin
Email: info@scioi.de
Tel: +49 30 314 70660
