Thursday Morning Talk

Abstract: The opacity of datasets poses a significant challenge to creating inclusive and intelligible machine learning (ML) systems. Various AI ethics initiatives have addressed this issue by proposing standardized dataset

Abstract: In our project, we explore the idea that complex, intelligent behavior can be generated by selecting from simple strategies in a smart way. In the first part, we will

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

Using swarm optimization algorithms as heuristic solutions in various engineering problems, including the state estimation of nonlinear systems, has been an inspiration to me for my SCIoI project. We started

Abstract: The social structure and behaviour of organisms is highly divergent. How can this stunning diversity in nature be explained? I will argue that a few key principles are responsible

Abstract: Reinforcement learning has shown great success in controlling complex dynamical systems. However, when training a policy, most algorithms only consider a single objective function. While this may suffice in

Machine learning tools have already been used to identify individual animals such as but not limited to pandas, black bears, cows and dogs. These tools can help to improve the

Abstract:  Collective motion is a familiar sight in nature; groups of distinct, self-propelled individuals appear to move as a coherent whole, exhibiting a rich behavioral repertoire that ranges from directed

Abstract:  A tutorial on Open Science practices with a focus on pre-registration, going through the process step-by-step, including a live experimental data collection. This talk will take place in person

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

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

Daniela Vallentin is a neuroscientist and currently the Lise Meitner Reseach Group Leader at the Max Planck Institute for Biological Intelligence, heading the 'Neural Circuits for Vocal Communication' Group whose