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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230119T100000
DTEND;TZID=Europe/Berlin:20230119T113000
DTSTAMP:20260619T112921
CREATED:20230116T101152Z
LAST-MODIFIED:20250603T130050Z
UID:14043-1674122400-1674127800@www.scienceofintelligence.de
SUMMARY:David Garzón Ramos (Université Libre De Bruxelles)\, “Automatic Design of Robot Swarms: Context and Experiments”
DESCRIPTION:Abstract:\n \nSwarm robotics is a promising approach to the coordination of large groups of robots. Traditionally\, the design of collective behaviors for robot swarms has been an iterative manual process: a human designer manually refines the control software of the individual robots until the desired collective behavior emerges.\n\nIn this talk\, I discuss automatic design as an alternative approach to manual design. In automatic methods\, the design process is cast into an optimization problem: given a task to be performed by the swarm\, an optimization process designs a collective behavior to perform the task and produces appropriate control software for the robots. I focus on experiments that highlight the various aspects of the automatic design of robot swarms: classes of collective behaviors\, control architectures\, and the optimization process. In particular\, I present a case study on the design of shepherding behaviors for groups of robots. The results presented in this talk are outcomes of the project DEMIURGE; an ERC funded project devoted to the study of the automatic design of robot swarms (PI Mauro Birattari).\nThis talk will take place in person at SCIoI. \nPhoto by Omar Flores on Unsplash. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-david-garzon-ramos-universite-libre-de-bruxelles-automatic-design-of-robot-swarms-context-and-experiments/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230112T100000
DTEND;TZID=Europe/Berlin:20230112T110000
DTSTAMP:20260619T112921
CREATED:20221128T133344Z
LAST-MODIFIED:20250603T130102Z
UID:13400-1673517600-1673521200@www.scienceofintelligence.de
SUMMARY:Dustin Lehmann\, Fritz Francisco\, Jorg Raisch\, Pawel Romanczuk (Science of Intelligence)\, “Dynamical Adaptation and Learning: Knowledge Transfer and Cooperative Learning in Groups of Heterogeneous Agents”
DESCRIPTION:Abstract: \nIn groups of agents learning how to solve a common task\, interaction and knowledge transfer between agents is important and can vary depending on network topology. Heterogeneity is one of the key principles that influences the type and quality of interaction between learning agents. Different learning strategies and behaviors can be a driving factor for the learning success at the group and individual level\, whereas differences in dynamics (or capabilities\, behaviors\, internal states\, etc.) can impede the direct transferability of knowledge and may require dynamic adaption of the agents.\nIn this talk\, we show how to infer behavioral heterogeneity in learning groups of fish and how this affects future learning capabilities. Prior knowledge of social partners affects the outcome of learning processes and timing of information uptake. We further investigate behavioral heterogeneity from the perspective of synthetic dynamic systems and how to transfer knowledge between dissimilar agents to enable cooperative learning of how to solve a common task. First results show how to exploit heterogeneity for learning in synthetic agents and which information gradient is beneficial when dealing with novel tasks in a social context.\n \nThis talk will take place in person at SCIoI. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-dustin-lehmann-fritz-francisco-jorg-raisch-pawel-romanczuk-dynamical-adaptation-and-learning-knowledge-transfer-and-cooperative-learning-in-groups-of-heterogeneous-agents/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221215T100000
DTEND;TZID=Europe/Berlin:20221215T110000
DTSTAMP:20260619T112921
CREATED:20220914T121043Z
LAST-MODIFIED:20250603T130137Z
UID:13049-1671098400-1671102000@www.scienceofintelligence.de
SUMMARY:Robert Lange and Luis Gomez (Science of Intelligence)\, “Quantifying and Modelling Collective Behavior Across Ecological Contexts”
DESCRIPTION:Abstract: \nA central challenge in understanding the concept of swarm intelligence is the relation between the behavior of a swarm of agents and its ecological niche. In order to interpret such collective concept\, we have been using analytical and synthetic approaches to get more insights using mainly one particular biological system of Sulphur mollies as study system. We have combined analytical behavioral characterizations of schools of these fish with synthetic state-of-the-art machine learning methods to understand the  functionality of the behavior in real life. In this talk\, we will show our main findings related to the collective behavior. We will show i) that the highly synchronized diving behavior of the school is close to criticality\, ii) how this can be functionally related to effective communication about predator attacks\, and iii) how to study the heterogeneity in collectives by inferring the parameters of models using machine learning algorithms. \nThis talk will take place in person at SCIoI.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-p12/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221208T100000
DTEND;TZID=Europe/Berlin:20221208T110000
DTSTAMP:20260619T112921
CREATED:20221128T100636Z
LAST-MODIFIED:20250603T130147Z
UID:13385-1670493600-1670497200@www.scienceofintelligence.de
SUMMARY:Erik Rodner “Please Label Me: Challenges and Efficient Strategies for Data Annotation and Selection”
DESCRIPTION:Abstract: \nLack of data and annotations has been the showstopper for machine learning projects when I started my PhD and 15 years later it still is. In my talk\, I will give a brief overview of recent models we developed for weakly- and semi supervised as well as for active learning.\nIn addition\, we will analyze the relevance of these algorithms from an industrial perspective\, which often contradicts with the usual story line in traditional computer vision publications. \nThis talk will take place in person at SCIoI. \n  \nPhoto by vackground.com on Unsplash
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-erik-rodner-please-label-me-challenges-and-efficient-strategies-for-data-annotation-and-selection/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221201T100000
DTEND;TZID=Europe/Berlin:20221201T110000
DTSTAMP:20260619T112921
CREATED:20220914T121438Z
LAST-MODIFIED:20240813T101934Z
UID:13054-1669888800-1669892400@www.scienceofintelligence.de
SUMMARY:David Bierbach (Science of Intelligence)\, "Anticipation in social interactions among live and artificial agents"
DESCRIPTION:Abstract: \nThe aim of SCIoI’s P10 is to investigate how anticipation and prediction shapes social interactions among live and artificial agents using for example the Robofish system. We will outline our research showing the sophisticated anticipation abilities of live fish\, as well as how we integrated prediction and anticipation into Robofish’s social interaction behaviors. We will furthermore show how experiments with robotic animals can help to promote animal welfare and what is necessary to build biomimetic robots that will be accepted by live animals as conspecifics (see also these articles: https://www.frontiersin.org/articles/10.3389/fbioe.2020.00441/full\,  https://www.annualreviews.org/doi/10.1146/annurev-control-061920-103228\, https://link.springer.com/chapter/10.1007/978-3-030-64313-3_26 ). Finally we will dive into our public outreach activities that include the Robofish exhibition in the Humboldt Labor at Stadtschloss Berlin with more than 100\,000 visitors since 2021. \nThis talk will take place in person at SCIoI. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-p10-jens-krause-verena-hafner-2/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221124T113000
DTEND;TZID=Europe/Berlin:20221124T130000
DTSTAMP:20260619T112921
CREATED:20221117T101332Z
LAST-MODIFIED:20240813T101103Z
UID:13344-1669289400-1669294800@www.scienceofintelligence.de
SUMMARY:Thursday morning talk: Nicolas Mandel\, "Kangaroos & Quadcopters"
DESCRIPTION:Abstract: \nThe contents of this presentation will be twofold. In the first part the Centre for Robotics of the Queensland University of Technology (QUT) and its research directions and facilities will be introduced. The research on semantics for the benefit of UAVs\, specifically quadcopters\, will be highlighted. The second part will contain the personal experiences of the presenter of undertaking a PhD in Australia\, highlighting differences\, challenges and lessons learnt along the way.Disclaimer: The views and opinions in this talk are the presenters and do not necessarily reflect the opinions of any of the employers or affiliates.\nThis talk will take place in person at SCIoI. \n  \nPhoto by Indy Bruhin on Unsplash \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-nicolas-mandel-kangaroos-quadcopters/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221124T100000
DTEND;TZID=Europe/Berlin:20221124T110000
DTSTAMP:20260619T112921
CREATED:20220914T120810Z
LAST-MODIFIED:20240813T101121Z
UID:13046-1669284000-1669287600@www.scienceofintelligence.de
SUMMARY:What are futures made of? Collactive Materials\, a joint SCIoI/MoA project
DESCRIPTION:Abstract:\nThe BUA-funded experimental knowledge transfer project CollActive Materials\, a collaboration between the Clusters of Excellence Science of Intelligence and Matters of Activity\, encourages speculation on what the future has in store. \nWhich intelligent materials will pave our tomorrows? How can substances and materials change our world in an intelligent way? What will the world look like in the coming decades\, and how can we turn our speculations into something tangible?  Finally\, what kinds of relationships could we create with intelligent materials? \nIn this Thursday Morning Talk the audience will learn more about the CollActive Materials project and all the exciting interactions between the two clusters\, and most importantly\, they will get a chance to dive into the project themselves by taking part in a mini speculative design exercise. \nSPEAKERS:  \nLéa Perraudin is a media theorist and speculative material scholar and works as postdoctoral research associate at the Cluster of Excellence »Matters of Activity. Image Space Material«. Léa currently works on a habilitation project\, bringing forth a media theory of phase transitions by investigating the ties of material and metaphor in contemporary technocapitalist media environments through transience\, dispersal\, abundance and solidification.\nFurthermore\, Léa is the co-leader of the experimental laboratory »CollActive Materials«\, a joint project of the Clusters of Excellence »Matters of Activity« and »Science of Intelligence«\, that intends to gather multiple publics to jointly tackle possible material futures through the method of speculative design. \nMartin Müller researches at the intersection of cultural history and theory\, media studies\, history of knowledge and science\, and design theory. He is a postdoctoral research associate at the Cluster of Excellence »Matters of Activity. Image Space Material« – in the projects »Symbolic Material« and »Material Form Function«. Since 2015 he has been teaching at the Department of Cultural History and Theory at Humboldt-Universität zu Berlin. Martin is the co-leader of the experimental laboratory for knowledge exchange and speculative design »CollActive Materials«. Recently published: »The Will to Engineer. Synthetic Biology and the Escalation of Zoëpolitics«\, in: P. Ribault (Ed.): Design\, Gestaltung\, Formatività\, 2022 \nThis talk will take place in person at SCIoI. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-matters-of-activity-moa/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221117T100000
DTEND;TZID=Europe/Berlin:20221117T110000
DTSTAMP:20260619T112921
CREATED:20220914T120516Z
LAST-MODIFIED:20250603T130205Z
UID:13043-1668679200-1668682800@www.scienceofintelligence.de
SUMMARY:Heiner Spiess (Science of Intelligence)\, “Tools To Study the Generality of Deep Neural Network Representations”
DESCRIPTION:Abstract: \nAs many of us know by now\, Deep Learning has enabled tackling very challenging problems and applications that were previously almost impossible to solve with machine learning. However\, for most of the tasks we want to solve with Deep Learning\, we need large\, if not huge\, amounts of data and computing power. This is very limiting for many applications for which we do not have the necessary amounts of data or for practitioners who do not have access to enough computation power to train well-performing Deep Networks for their desired tasks.We hope to overcome these two limitations by leveraging the generality of already trained models through Transfer Learning or combining the information from multiple\, perhaps relatively small\, datasets with Multi-Task-Learning.In this project\, we are investigating the generality of representations learned by Deep Networks. Today I would like to introduce one of the families of tools we use in this effort: Representational Similarity Analysis (RSA).I will present the methodology behind these tools and provide some insights into Deep Networks gained through their use. However\, I would highlight some concerns to be aware of when using these tools and present some challenges that arise in practice. Considering these concerns\, I will present a variant of these tools that solves some of the existing problems.Furthermore\, I will shortly present a tool that we have developed to synthesize realistic image data\, allowing us to systematically analyse which properties of the data are represented in Deep Networks.Finally\, I want to mention our SCIoI cooperation with project 01 on “Scanpath Prediction in Dynamic Scenes using an end-to-end Deep Learning approach”. \nPhoto by Nina Ž. on Unsplash \nThis talk will take place in person at SCIoI. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-heiner-spiess/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221110T100000
DTEND;TZID=Europe/Berlin:20221110T110000
DTSTAMP:20260619T112921
CREATED:20220926T105840Z
LAST-MODIFIED:20240813T101157Z
UID:13108-1668074400-1668078000@www.scienceofintelligence.de
SUMMARY:Jan De Bruyne (Leiden University)\, "Liability for Damage Involving AI – Some Regulatory Challenges and Priorities"
DESCRIPTION:More details to follow. \nPhoto by DeepMind on Unsplash \nThis talk will take place in person at SCIoI. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-jan-de-bruyne/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221103T100000
DTEND;TZID=Europe/Berlin:20221103T110000
DTSTAMP:20260619T112921
CREATED:20220914T120203Z
LAST-MODIFIED:20240813T101210Z
UID:13040-1667469600-1667473200@www.scienceofintelligence.de
SUMMARY:POSTPONED: Scott Robbins\, "What Machine's Shouldn't Do"
DESCRIPTION:From writing essays to evaluating potential hires\, machines are doing a lot these days. In all spheres of life\, it seems that machines are being delegated more and more decisions. Some of these machines are being delegated decisions that could have significant impact on human lives. Examples of such machines which have caused such impact are widespread and include machines evaluating loan applications\, machines evaluating criminals for sentencing\, autonomous weapon systems\, driverless cars\, digital assistants\, etc. Considering that machines cannot be held morally accountable for their actions (Bryson\, 2010; Johnson\, 2006; van Wynsberghe & Robbins\, 2018)\, the question that governments\, NGOs\, academics\, and the general public should be asking themselves is: how do we keep meaningful human control (MHC) over these machines? \nThe literature thus far details what features the machine or the context must have in order for MHC to be realized. Should humans be in the loop or on the loop? Should we force machines to be explainable? Lastly\, should we endow machines with moral reasoning capabilities? (Ekelhof\, 2019; Floridi et al.\, 2018; Robbins\, 2019a\, 2019b; Santoni de Sio & van den Hoven\, 2018; Wendall Wallach & Allen\, 2010; Wendell Wallach\, 2007). Rather than look to the machine itself or what part humans have to play in the context\, I argue here that we should shine the spotlight on the decisions that machines are being delegated. Meaningful human control\, then\, will be about controlling what decisions get made by machines. \nI argue that keeping meaningful human control over machines (especially AI which relies on opaque methods) means restricting machines to decisions that do not require a justifying explanation and can\, in principle\, be proven efficacious. Because contemporary methodologies in AI are opaque\, many machines cannot offer explanations for their outputs. In many cases\, decisions require justifying explanations\, and we should therefore not use machines for such cases. It won’t be surprising that machines should be efficacious if they are to be used – especially in contexts that will have impacts on human beings. Increasingly\, however\, machines are being delegated decisions for which we are unable\, in principle\, to evaluate their efficacy. This should not happen. \nThese arguments lead to the conclusion that machines should be restricted to descriptive outputs. It must always be a human being deciding how to employ evaluative terms as these terms not only refer to specific states of affairs but also say something about how the world ought to be. Machines which are able to make decisions based on opaque considerations should not be telling humans how the world ought to be. This is a breakdown of human control in the most severe way. Not only would we be losing control over specific decisions in specific contexts\, but we would be losing control over what descriptive content grounds evaluative classifications. \n  \nPhoto by Alex Knight on Unsplash \nThis talk will take place in person at SCIoI. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-scott-robbins/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221020T100000
DTEND;TZID=Europe/Berlin:20221020T110000
DTSTAMP:20260619T112921
CREATED:20220908T135026Z
LAST-MODIFIED:20250603T130235Z
UID:13017-1666260000-1666263600@www.scienceofintelligence.de
SUMMARY:David Bierbach (Science of Intelligence)\, “Anticipation in Fish-Robot Interactions”
DESCRIPTION:Abstract:\nI will present our current research involving the Robofish. I will put a special focus on our latest research paper that found live fish to be able to anticipate predictably behaving Robofish both in regard to final movement locations as well as movement dynamics.  \nThis talk will take place in person at SCIoI \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-project-11/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221013T100000
DTEND;TZID=Europe/Berlin:20221013T110000
DTSTAMP:20260619T112921
CREATED:20220908T134759Z
LAST-MODIFIED:20250603T130249Z
UID:13014-1665655200-1665658800@www.scienceofintelligence.de
SUMMARY:Alan Tump\, Dominik Deffner\, David Mezey (Science of Intelligence)\, “How Cognitive Computational Modeling Can Help Us Better Understand Principles Underlying Collective Intelligence”
DESCRIPTION:Abstract:\nCollective 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. \nIn our talk\, we will argue that cognitive modeling\, in tandem with experiments that allow collective dynamics to emerge\, can mechanistically link cognitive processes at the individual and collective levels and\, thus\, provides a fruitful path forward in identifying principles of collective intelligence. \nWe will show how such cognitive computational approaches are increasingly being used to better understand social and collective decision-making\, and will explore how we can extend this strategy to more unconstrained social decision spaces\, typical of real-world collective intelligence. \n  \nPhoto by Alina Grubnyak on Unsplash \n***Want to attend one of our events? Sign up here.\nTo get regular updates\, subscribe to our mailing list from this page.\nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-alan-trump-domink-deffner-david-mezey-scioi-p26-p34/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220714T100000
DTEND;TZID=Europe/Berlin:20220714T113000
DTSTAMP:20260619T112921
CREATED:20220711T104038Z
LAST-MODIFIED:20250603T130335Z
UID:12703-1657792800-1657798200@www.scienceofintelligence.de
SUMMARY:Katharina Scheiter (University of Potsdam)\, “Multimodal Learning: Underlying Processes and How To Support Them”
DESCRIPTION:Abstract:Theories of learning from multimodal sources (e.g.\, combinations of text and pictures\, aka multimedia) posit that in order to effectively learn from multimedia\, students need to select information from text and pictures\, organize the information in memory\, and most importantly\, integrate the information into one mental model. In the first part of my presentation\, I will focus on what is meant by text-picture integration by discussing results from empirical studies aimed at better understanding its underlying processes. In the second part of my presentation\, I will focus on ways to improve text-picture integration in educational settings through enhancing the design of the learning materials as well as nudging students into processing them more effectively. Eye tracking plays a major role in this research both as a research tool but also as an instructional tool to improve multimodal learning. \nPhoto by Element5 Digital on Unsplash \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-katharina-scheiter-university-of-potsdam-multimodal-learning-underlying-processes-and-how-to-support-them/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220623T100000
DTEND;TZID=Europe/Berlin:20220623T113000
DTSTAMP:20260619T112921
CREATED:20220523T090343Z
LAST-MODIFIED:20240813T100735Z
UID:12107-1655978400-1655983800@www.scienceofintelligence.de
SUMMARY:Nicolas Roth\, Aravind Battaje\, Adrian Sieler and Vincent Wall (Science of Intelligence)\, "Integration Hackathons for Behavior 1"
DESCRIPTION:A cornerstone of SCIoI are the three example behaviors that provide the motivation\, as well as the demonstration platforms to showcase the amazing research happening within the cluster. In order to get the ball rolling towards interesting example behaviors\, we have recently started regular “integration hackathon” meetings. They bring together people from different projects\, who identify achievable first integration steps\, and just start putting things together. \nIn this talk\, Nico from P1\, Aravind from P2\, and Adrian and Vincent from P17 will present this process. We will show the Behavior 1 escape room component that we selected for our first integration attempts\, explain which different research components come together to create the combined behavior\, and share some insights and observations we made along the way. In the end\, we hope to encourage everybody in SCIoI to think about integration steps and motivate people to get involved in the exciting\, rewarding (and necessary!) integration efforts for the example behaviors. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-thursday-morning-talk-adrian-sieler-nicolas-roth-aravind-battaje-vincent-wall/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220616T100000
DTEND;TZID=Europe/Berlin:20220616T110000
DTSTAMP:20260619T112921
CREATED:20220428T100808Z
LAST-MODIFIED:20240404T101644Z
UID:12001-1655373600-1655377200@www.scienceofintelligence.de
SUMMARY:Thursday Morning Talk with Andrea Iannelli (ETHZ)\, "Learning and Controlling: Robustness\, Informativity and Adaptation"
DESCRIPTION:Abstract: \nThe abundance of available data on the one hand\, and the increase in systems complexity caused by the need to cope with new challenging tasks on the other\, have put research on so-called learning and data-driven methods in the agenda of virtually every engineering field. Control theory is no exception. In fact\, some of its traditional fields have close connections with open problems in data science\, such as system identification (with regression and classification) and adaptive and stochastic optimal control (with reinforcement learning). The first part of the talk will give an overview of our ongoing work on basic research problems at the intersection between control theory and learning. This will be followed by a more detailed discussion on two projects that investigate the problem of controlling unknown dynamical systems from different perspectives. One blends behavioral system theory\, which sees dynamical systems as sets of trajectories\, and system identification\, concerned with identifying models from data using statistical and information theoretic tools. The other frames it as an optimal control problem and proposes a robust adaptive model predictive control with active learning components to address the tension between exploration and exploitation. A discussion on the current limitations\, future extensions\, and foreseeable challenges will conclude the talk. \n  \nPhoto by Markus Spiske on Unsplash
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-andrea-iannelli-ethz-learning-and-controlling-robustness-informativity-and-adaptation/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220609T100000
DTEND;TZID=Europe/Berlin:20220609T110000
DTSTAMP:20260619T112921
CREATED:20220428T093121Z
LAST-MODIFIED:20250604T092203Z
UID:11997-1654768800-1654772400@www.scienceofintelligence.de
SUMMARY:Dafna Burema; Mattis Jacobs (Science of Intelligence)\, “Workshop: Discussing Ethically Problematic “Incidents” of AI Systems”
DESCRIPTION:(In-person talk at Science of Intelligence) \nWorkshop: Discussing ethically problematic “incidents” of AI systems \nIn the Thursday morning talk\, we discuss ethically problematic incidents of AI that we selected from the AIAAIC Repository. In total\, we discuss four cases. \nIn a first step\, we present a brief overview what occurred in the respective cases\, based on media coverage. The audience is then invited to give a briefly assess the case: what went wrong? Which ethical values or principles were involved? How could the incident have been prevented? Who is responsible for what has happened and who could have prevented it? \nIn a second step\, we present how the respective case was assessed in the ethics-related academic literature and compare the assessment of the participants with the expert’s assessment. We conclude by inviting the participants to reflect on their own projects and potential problematic outcomes of their research. \n\nPhoto by Ehud Neuhaus on Unsplah
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-dafna-burema-matthis-jacobs/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220602T100000
DTEND;TZID=Europe/Berlin:20220602T110000
DTSTAMP:20260619T112921
CREATED:20220523T092237Z
LAST-MODIFIED:20240813T100915Z
UID:12113-1654164000-1654167600@www.scienceofintelligence.de
SUMMARY:Florian Blume\, Martin Maier\, Doris Pischedda\, Olga Wudarczyk-Markett and Murat Kirtay (Science of Intelligence)
DESCRIPTION:Abstract:\nSocial interaction and communication are supported by the integration of multimodal signals. One crucial social cue when interacting with other humans are facial expressions. In Project 8\, we study how people not only read information from faces\, but how they read meaning into faces based on context and prior knowledge. Incorporating sources of information in addition to what is actually visible (top-down processing) supports efficient\, robust\, context-adaptive visual perception. Neural networks designed to recognize facial expressions largely ignore such contextual information and are therefore inherently misaligned with human social perception. Closing this gap promises to make synthetic face processing at the same time more intelligent\, useful for human-machine interaction\, and ethically responsible. \nSuccessful social interaction relies on additional social factors and cognitive processes including partner co-representation (i.e.\, the representation of the partner’s actions alongside one’s own actions)\, emotion processing\, theory of mind (i.e.\, the ability to consider mental states – such as beliefs\, desires\, intentions – to predict people’s behaviour) and trust. In project 9\, we study processes underlying social communication in humans and assess potential changes in these processes when the interaction partner is an artificial agent. We use this knowledge to implement similar mechanisms in our robots and assess how this affects their performance along other dimensions\, such as trust or scaffolding. Our ultimate goal is to create robots with higher social intelligence that can interact smoothly with humans and other agents. \n  \n  \nPhoto by Yuyeung Lau on Unsplash
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-florian-blume-martin-maier-doris-pischedda-olga-wudarczyk-markett-and-murat-kirtay-2/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220519T100000
DTEND;TZID=Europe/Berlin:20220519T110000
DTSTAMP:20260619T112921
CREATED:20220512T081828Z
LAST-MODIFIED:20240917T063052Z
UID:12054-1652954400-1652958000@www.scienceofintelligence.de
SUMMARY:Tilman Geishauer\, "Virtual Reality - From Research to Market"
DESCRIPTION:Abstract: Tilman Geishauser is currently working at Somareality to create a virtual reality focused product out of a cognitive load algorithm based on pupillometry that has been in development for 8 years at Research Studios Austria. In the past he invented one of Germanys most promising VR tools: Halocline Layout. He lead his team at what is now Halocline up until product launch. In his presentations he will talk about making products for virtual reality and about making products in cooperation with research institutions and universities.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-tilman-geishauer-virtual-reality-from-research-to-market/
LOCATION:SCIoI\, MAR Building\, Marchstr. 23\, Berlin
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220505T100000
DTEND;TZID=Europe/Berlin:20220505T110000
DTSTAMP:20260619T112921
CREATED:20220421T101554Z
LAST-MODIFIED:20250604T092519Z
UID:11982-1651744800-1651748400@www.scienceofintelligence.de
SUMMARY:Rebecca Lazarides (Science of Intelligence)\, “From Understanding Learners’ Adaptive Motivation and Emotion to Designing Social Learning Companions”
DESCRIPTION:Abstract: \nHigh motivation and positive emotions are important prerequisites for effective knowledge transfer\, while negative emotions can impede the acquisition of new knowledge. This talk presents our current state of research in SCIoI’s project 06 that aims at identifying adaptive teaching strategies of humans\, and to synthesize them with the goal to test whether these strategies can be applied successfully by synthetic agents. To this end\, we conduct 3 experiments in which (a) we aim to build a model of adaptive teaching using an emotionally-and performance adaptive intelligent tutoring system (ITS) and to compare it to a cognitively-adaptive ITS in its effects on human emotional experience and learning performance; (b) we integrate the model of the emotionally-adaptive ITS in embodied agents (physical robots: Pepper and Cozmo) and compare its effectiveness in knowledge transfer to the traditional ‘on-screen’ form by examining humans’ learning outcomes across conditions; c) we test the adaptive mechanism in the social interaction of two robotic agents – a learner robot (Nao) and a tutor robot (Pepper) – in a scaffolding situation were both are equipped with simple emotional expression / recognition mechanisms. The talks provides an overview about our recent results\, their implications and perspectives for future research.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-rebecca-lazarides-from-understanding-learners-adaptive-motivation-and-emotion-to-designing-social-learning-companions/
LOCATION:MAR 2.057
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220428T100000
DTEND;TZID=Europe/Berlin:20220428T110000
DTSTAMP:20260619T112921
CREATED:20220331T102930Z
LAST-MODIFIED:20250604T092531Z
UID:11880-1651140000-1651143600@www.scienceofintelligence.de
SUMMARY:Danny Driess\, Manuel Baum\, Katharina Hohlbaum\, Niek Andresen (Science of Intelligence)\, “Perspectives on the Gap Between Robotic Models and Observed Biological Behavior”
DESCRIPTION:Abstract: \n\n\n\n\n\n\n\n\nOne of SCIoI’s goals is to establish and evaluate synthetic models for biological data. Achieving this goal is clearly beneficial not only to produce more capable artificial behavior\, but also to get a better idea about the processes that may underlie biological intelligence. Why can a cockatoo or mouse open a lock box? What information do we need to provide an artificial agent to perform this task? While this goal is attractive in theory\, different projects in SCIoI face diverse practical problems on their way to fulfill this vision. In this joint talk we (Katharina Hohlbaum\, Niek Andresen\, Danny Driess\, and Manuel Baum) will discuss this topic from the perspectives of our individual projects. We aim not only to report on the challenges we face\, but would also like to discuss ideas to address these challenges with you.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-danny-driess-manuel-baum-katharina-hohlbaum/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220407T100000
DTEND;TZID=Europe/Berlin:20220407T110000
DTSTAMP:20260619T112921
CREATED:20220309T150435Z
LAST-MODIFIED:20240813T100340Z
UID:11789-1649325600-1649329200@www.scienceofintelligence.de
SUMMARY:Earlybird UNI-X
DESCRIPTION:Meet Philipp Semmer and Frederic du Bois-Reymond\, both partners at the venture capital firm Earlybird UNI-X. They will talk about funding for university spin-offs and why they believe that scientist and researcher should be more excited about entrepreneurship. They will also share their insights on deep tech companies becoming the next generation of unicorns. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-earlybird-uni-x/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220331T100000
DTEND;TZID=Europe/Berlin:20220331T110000
DTSTAMP:20260619T112921
CREATED:20220221T120156Z
LAST-MODIFIED:20240813T100346Z
UID:11727-1648720800-1648724400@www.scienceofintelligence.de
SUMMARY:Global Scientific Exchange Program - Part II
DESCRIPTION:The talks will be held by Emmanuel Ousu Ahenkan and Tatiana Ngoli Moteu Marcos.\n \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-the-global-scientific-exchange-program-part-ii/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220324T100000
DTEND;TZID=Europe/Berlin:20220324T110000
DTSTAMP:20260619T112921
CREATED:20220221T112735Z
LAST-MODIFIED:20240813T100353Z
UID:11716-1648116000-1648119600@www.scienceofintelligence.de
SUMMARY:Global Scientific Exchange Program - Part I
DESCRIPTION:The talks will be held by Arinze Lawrence Folarin\, “My 175 days journey in Berlin”; Juliana T.C. Marcos “GSEP Internship: More than a research experience in neuromorphic vision at SCIoI”; and Kiprono Elijah Koech “Action Recognition in a Wildlife Setting – Taken a Leap”. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-the-global-scientfic-program-part-i/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220317T100000
DTEND;TZID=Europe/Berlin:20220317T110000
DTSTAMP:20260619T112921
CREATED:20220110T145103Z
LAST-MODIFIED:20240813T100406Z
UID:11614-1647511200-1647514800@www.scienceofintelligence.de
SUMMARY:Henning Sprekeler (Science of Intelligence)\, "Architectural Design Principles for Intelligence: Modularity vs. Integration"
DESCRIPTION:Abstract: \nThe world is modular. So – intuitively – it seems clear that cognitive systems that deal with the world should benefit from a modular architecture. Simple or less important problems should use less cognitive resources than complex or important problems\, which – intuitively – may be achieved by changing the degree of modularity that a system uses. More modular\, less power consumption\, shallower processing; more integrated\, more power consumption\, deeper processing. Is this indeed the case? Is it beneficial for a cognitive system to regulate its degree of modularity depending on task demand? Does the human brain do this? How can a system determine which degree of modularity to use? In this talk\, we will first provide an update on the project\, and then invite everyone for discussion. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-henning-sprekeler-architectural-design-principles-for-intelligence-modularity-vs-integration/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220310T160000
DTEND;TZID=Europe/Berlin:20220324T170000
DTSTAMP:20260619T112921
CREATED:20220221T112423Z
LAST-MODIFIED:20250604T092603Z
UID:11712-1646928000-1648141200@www.scienceofintelligence.de
SUMMARY:Mark Nawrot (North Dakota University)\, “Pursuit Eye Movements in the Perception of Depth From Motion Parallax”
DESCRIPTION:Abstract: \nThe brain performs critical calculations on visual information as we swiftly\, yet effortlessly\, navigate around objects and obstacles in our cluttered environment. Perhaps one of the most important calculations is for the perception of depth using the apparent relative motion of objects in the environment created by our own translation known as motion parallax. This presentation will illustrate how the visual system relies on the combination of retinal image motion with a pursuit eye movement signal to quickly determine the relative depths of objects using motion parallax. Relative depth is accurately modelled with a simple formula known as the motion-pursuit ratio. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-afternoon-talk-with-mark-nawrot-north-dakota-university/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220303T160000
DTEND;TZID=Europe/Berlin:20220310T170000
DTSTAMP:20260619T112921
CREATED:20220221T112015Z
LAST-MODIFIED:20240813T100419Z
UID:11709-1646323200-1646931600@www.scienceofintelligence.de
SUMMARY:Chaz Firestone (Johns Hopkins University)\, "Seeing 'How'"
DESCRIPTION:Abstract: \nWhat is perception? The most intuitive and influential answer to this question has long been the one given by David Marr: To see the world is “to know what is where by looking” – to transform light into representations of objects and their features\, located somewhere ins pace. But is this all that perception delivers? Consider a figure composed by pieces of a puzzle; certainly you see some colored shapes\, as well as where they are located. Yet\, beyond this\, you may also see how they relate to one another: A\, say\, green piece can fit into the others\, and even create a new object with a shape of its own. \nIn this talk\, I present evidence that perception extracts relations between objects in much the same way as it processes the objects themselves\, and that these relations are abstract\, structured\, and surprisingly sophisticated. We’ll explore (and experience) the perception of several sophisticated relations between objects\, including combining\, supporting\, containing\, covering\, and fastening – as well as relational “illusions” in which objects appear to interact with mysteriously invisible entities. Together\, this work suggests that we see not only “what” and “where”\, but also “how”. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-afternoon-talk-with-chaz-firestone/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220217T100000
DTEND;TZID=Europe/Berlin:20220217T110000
DTSTAMP:20260619T112921
CREATED:20220117T152745Z
LAST-MODIFIED:20240813T100442Z
UID:11627-1645092000-1645095600@www.scienceofintelligence.de
SUMMARY:Yuejiang Liu (EPFL University)\, "Learning Beyond the IID Setting with Robust and Adaptive Representations"
DESCRIPTION:Abstract \nMachine learning models have achieved stunning successes in the IID setting. Yet\, beyond this setting\, existing models still suffer from two grand challenges: brittle under covariate shift and inefficient for knowledge transfer. In this talk\, I will introduce three approaches to tackle these challenges\, namely self-supervised learning\, causal representation learning\, and test-time training. More specifically\, I will share our recent findings on (i) incorporating prior knowledge of negative examples into representation learning\, (ii) promoting causal invariance and structure by making use of data from multiple domains\, (iii) exploiting extra information besides model parameters for effective test-time adaptation. I will show how these techniques enable deep neural networks to more robustly generalize and efficiently adapt to new environments in the motion or vision context. I will finally discuss the implications of these results on the design\, training\, and deployment of deep models for domain generalization and adaptation. Comments and feedback are more than welcome. \n  \nPaper Links \nSocial NCE: Contrastive Learning of Socially-Aware Motion Representations\, ICCV’21 \nTTT++: When Does Self-Supervised Test-Time Training Fail or Thrive? NeurIPS’21 \nCollaborative Sampling in Generative Adversarial Networks\, AAAI’20 \nTowards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective\, Preprint’21 (under review) \n  \nBio \nYuejiang Liu is a PhD student at EPFL\, advised by Alexandre Alahi. His research interests center around representation learning and its applications to autonomous agents. He is particularly excited about unsupervised learning for robust generalization and efficient adaptation. \n  \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-yuejiang-liu-epfl-university-learning-beyond-the-iid-setting-with-robust-and-adaptive-representations/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220210T100000
DTEND;TZID=Europe/Berlin:20220210T110000
DTSTAMP:20260619T112921
CREATED:20220131T105742Z
LAST-MODIFIED:20250604T092633Z
UID:11655-1644487200-1644490800@www.scienceofintelligence.de
SUMMARY:Mathilde Caron\, “Self-Supervised Learning: How To Learn From Images Without Human Annotations”
DESCRIPTION:Abstract:\nSelf-supervised learning (SSL) consists in training neural network systems without using any human annotations. Typically\, neural networks require large amounts of annotated data\, which have limited their applications in fields where accessing these annotations is expensive or difficult. Moreover\, manual annotations are biased towards a specific task and towards the annotator’s own biases\, which can result in noisy and unreliable signals. Training systems without annotations could lead to better\, more generic and robust representations. In this talk\, I will present different contributions to the fast-growing field of SSL conducted during my PhD. I will finish by discussing open questions and challenges for the future of SSL. \n  \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-mathilde-caron/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220127T100000
DTEND;TZID=Europe/Berlin:20220127T110000
DTSTAMP:20260619T112921
CREATED:20211221T062119Z
LAST-MODIFIED:20240813T100506Z
UID:11451-1643277600-1643281200@www.scienceofintelligence.de
SUMMARY:Dimitri Coelho Mollo (Science of Intelligence)\, "The Concept of Intelligence - A progress report"
DESCRIPTION:In this presentation\, I will report on the results of my work so far on the concept of intelligence\, summarising some of the main points and proposals made\, and opening the floor for open discussion about the topic. \n  \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-dimitri-coelho-mollo-scioi-the-concept-of-intelligence-a-progress-report/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220106T100000
DTEND;TZID=Europe/Berlin:20220106T110000
DTSTAMP:20260619T112921
CREATED:20211222T105550Z
LAST-MODIFIED:20250604T092730Z
UID:11457-1641463200-1641466800@www.scienceofintelligence.de
SUMMARY:Ruben Arslan (MPI Berlin): “Bad Science vs. Open Science. The Replication Crisis and Possible Ways Out.”
DESCRIPTION:Estimates from large-scale replication projects in psychology suggest that the majority of studies from top journals do not replicate. Using commonly accepted research methods\, several academic fields amassed prolific\, seemingly coherent literatures on phenomena that do not exist\, such as extrasensory perception and depression candidate genes. Throughout the biomedical and life sciences\, data detectives keep finding highly cited papers that are riddled with errors invalidating their conclusions. Our textbooks are full of findings that do not replicate or are otherwise in serious doubt.\nAcademia as a system has issues\, but can we use the scientific method to understand and remedy them? A vibrant reform movement is seeking to do so\, but it is hard to keep track of all the suggestions to do better and tell fads from truly beneficial reforms. I outline concrete plans and paths that could lead to lasting improvements\, such as PCI Registered Reports\, the Peer Reviewer’s Openness Initiative\, post publication peer review\, and guideline and incentive setting at the journal\, hiring and funding level.\n \n  \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-ruben-arslan-mpi-berlin-personal-and-social-information-search-and-integration-for-intelligent-decisions-on-climate-action/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
END:VCALENDAR