Thursday Morning Talk

Abstract: In this talk, Dr. Jung will focus on the three key principles of good time management: defining priorities, managing expectations and developing routines that work. Following the lecture, the participants have the opportunity to discuss their time management challenges in an individual coaching session. Defining Priorities: Dealing with high performance expectations in wide array

Abstract: The recent success in Computer Vision has been mostly attributed to improved results using deep learning models trained on large labeled datasets. Many of these datasets have been labeled by humans. The labeling process, however, can be time-consuming, and in many applications, it may require expertise that could be costly to acquire. In order

Abstract: Programming robots to manipulate articulated objects such as drawers, doors, or locks is a challenging task. One of the major reasons for this difficulty is that robots must physically interact with objects, and even minor errors during manipulation can result in significant internal forces that may cause damage. While robots struggle with these manipulation

Abstract: It has recently been proposed that a minimal condition of intelligence is the ability to form accurate predictions (Tjøstheim & Stephens 2021). In this talk, I evaluate the promise of this view for integrating intelligence research across subdisciplines within the cognitive and life sciences. I argue that this view combines two desirable features: (1)

Abstract: Event cameras are novel bio-inspired sensors that naturally respond to motion in the scene. They have promising advantages, namely a high dynamic range, little motion blur and low latency. But how can we leverage these advantages for vision tasks such as animal behavior quantification? In this talk I will  present two applications developed at

Abstract: Artificial deep neural networks (DNNs) are used in many different ways to address scientific questions about how biological vision works. In spite of the wide usage of DNNs in this context, their scientific value is periodically questioned. I will argue that DNNs are good in three ways for vision science: for prediction, for explanation,

More details to follow. This talk will take place in person at SCIoI.  

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 documentation frameworks based on the value of transparency.  In this talk, I propose a shift of perspective: from documenting for transparency to documenting for reflexivity.

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 talk about how we tested this idea of strategy selection in the context of human decision making under risk, and we will discuss the potential

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 cascades and maladaptive social contagion depends on the cognitive mechanisms underlying social interactions. This talk will take place in person at SCIoI.    

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 our project by studying the "Wisdom of Crowds" effect, i.e. the notion that the average of many imperfect estimations, under the right conditions, can potentially yield a

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 for the evolution of social behaviour, with all its simple and complex manifestations. Organisms compete for resources. As survival and reproduction require resources and only