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DTSTART;TZID=Europe/Berlin:20221201T100000
DTEND;TZID=Europe/Berlin:20221201T110000
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CREATED:20220914T121438Z
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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
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2022/09/Robotic-Fish-2-1536x1024-1.jpg
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DTSTART;TZID=Europe/Berlin:20221208T100000
DTEND;TZID=Europe/Berlin:20221208T110000
DTSTAMP:20260409T153059
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
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2022/11/vackground-com-agUC-v_D1iI-unsplash-1.jpg
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DTSTART;TZID=Europe/Berlin:20221215T100000
DTEND;TZID=Europe/Berlin:20221215T110000
DTSTAMP:20260409T153059
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
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2022/09/Pawel-1.png
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