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DTSTART;TZID=Europe/Berlin:20250205T160000
DTEND;TZID=Europe/Berlin:20250205T171500
DTSTAMP:20260428T074641
CREATED:20250113T102236Z
LAST-MODIFIED:20250603T124306Z
UID:23100-1738771200-1738775700@www.scienceofintelligence.de
SUMMARY:Goldie Nejat (University of Toronto)\, “Paging the Socially Assistive Robots: Intelligent and Persuasive Social Robots for Healthcare and Beyond”
DESCRIPTION:The world is experiencing a silver tsunami: rapid population aging. As the world’s older population significantly increases\, dementia is becoming one of the fastest growing diseases\, with no cure in sight. Socially assistive robots are a unique disruptive innovation that are becoming a crucial part of everyday society\, especially in a post-pandemic world\, aiding people in everyday life to meet urgent and immediate assistive needs. This talk will present some of my group’s recent research efforts in developing intelligent and persuasive socially assistive robots to improve quality of life and promote independence (aging-in-place) of older adults\, including those living with dementia and their care providers. In particular\, I will discuss some of my team’s many robots including Brian\, Casper\, Tangy\, Blueberry\, Salt\, Pepper\, Chili\, Hans Solo\, and Luke and Leia that have been deployed in human-centered environments from long-term care homes and hospitals to grocery stores to autonomously provide cognitive and social interventions\, help with activities of daily living\, and lead individual-based and group-based recreational activities\, games and therapies. Our novel multimodal interactive robots are serving as assistants to individuals as well as groups of users\, while learning to personalize these interactions to the needs and wants of these users by using perceptual\, behavioral and persuasive intelligence. Numerous user studies conducted in care settings will also be discussed to highlight how these robots can effectively be integrated into people’s everyday lives to support person-centered care. \nDr. Goldie Nejat\, Ph.D.\, P.Eng.\, is a Professor in the Department of Mechanical & Industrial Engineering at the University of Toronto. She is also the Founder and Director of the Autonomous Systems and Biomechatronics Laboratory Professor Nejat is an Adjunct Scientist at both KITE in the Toronto Rehabilitation Institute (University Health Network) and the Rotman Research Institute at Baycrest Health Sciences\, and a Fellow of both ASME and CIFAR. She was the Canada Research Chair in Robots for Society (2014-2024).\nDr. Nejat’s research focuses on developing intelligent service robots and robot cooperative teams for applications in health\, eldercare\, emergency response\, search and rescue\, security and surveillance\, retail and manufacturing. Her ground-breaking robotics research is leading the development of intelligent socially assistive robots aimed at meeting the challenges posed by a rapidly aging population. She has been invited to speak about her research to scientists\, healthcare professionals\, policymakers\, governments and the general public at many events\, conferences and institutions around the world. She has served on the organizing\, program and editorial committees of numerous international conferences and journals on robotics\, automation\, human-robot interaction and medical devices. She is an Associate Editor for the International Journal of Social Robotics\, a program co-chair for the 2025 IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) and is also a past Associate Editor for IEEE Robotics and Automation Letters (RA-L)\, and IEEE Transactions on Automation Science and Engineering (T-ASE). Her team’s work has been presented in over 100 media stories including in Popular Science\, National Geographic Magazine\, Time Magazine\, Bloomberg\, NBC News\, the Telegraph\, Reader’s Digest\, and the Discovery Channel. In 2022\, she received the Robotics Society of Japan (RSJ) Pioneering Research Award in Robot & Human Interactive Communication along with her students and collaborator. In 2022\, she was also internationally recognized as 1 of 50 women in robotics you need to know by Women in Robotics for her inspiring contributions to robotics. In 2020\, she received the Engineering Excellence Medal from the Ontario Society of Professional Engineers (PEO) and the Professional Engineers Ontario. \nThis talk will take place as part of SCIoI member Jonas Frenkel’s seminar “Artificial Social Intelligence.” It aims to provide a comprehensive exploration of ASI\, which involves the observation\, analysis\, and synthesis of social phenomena. It integrates synthetic sciences such as machine learning\, computer vision\, and robotics with cognitive science\, psychology\, neuroscience\, and the humanities to focus on the perception\, cognitive components\, and behaviors linked to social intelligence. \nPhoto by Michael Dziedzic on Unsplash.
URL:https://www.scienceofintelligence.de/event/goldie-nejat-university-of-toronto/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2025/01/Goldie.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250207T140000
DTEND;TZID=Europe/Berlin:20250207T153000
DTSTAMP:20260428T074641
CREATED:20241024T160716Z
LAST-MODIFIED:20250603T124252Z
UID:22501-1738936800-1738942200@www.scienceofintelligence.de
SUMMARY:Tucker Hermans (University of Utah\, NVIDIA)\, “Learning and Planning With Relational Dynamics Models for Robot Manipulation”
DESCRIPTION:More info will follow soon. \nThis talk will take place as part of SCIoI member Svetlana Levit’s seminar “Selected Topics in Robot Learning\,” which explores how advances in machine learning are helping robots operate in new environments\, learn new behaviors\, and adapt to changing conditions.
URL:https://www.scienceofintelligence.de/event/tucker-hermans-university-of-utah-nvidia-learning-and-planning-with-relational-dynamics-models-for-robot-manipulation/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/10/Handmanipulations-scaled-e1729866591231.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250212T170000
DTEND;TZID=Europe/Berlin:20250212T183000
DTSTAMP:20260428T074641
CREATED:20250113T103151Z
LAST-MODIFIED:20250603T124241Z
UID:23105-1739379600-1739385000@www.scienceofintelligence.de
SUMMARY:Agnieszka Wykowska (the Italian Institute of Technology\, Genoa)\, “Using Humanoid Robots To Study Human Cognition”
DESCRIPTION:Humanoid robots have recently received a lot of attention and enthusiasm in the robotics community and beyond. Indeed\, with new technological advancements\, they hold the promise to become our assistants in daily lives\, as general-purpose machines. In this talk\, however\, Agnieszka Wykowska will focus on a different\, less explored\, way of using humanoids – as tools to understand human cognition. Humanoids can play a substantial role in the scientific understanding of human cognition\, both through the construction of embodied models of cognitive mechanisms\, and in the role of sophisticated apparatus in experimental paradigms. Agnieszka Wykowska will present the work of her lab where they have examined how fundamental mechanisms of human cognition\, such as attention\, decision making or sense of agency\, are modulated by the interaction with a humanoid. She will then demonstrate how results from such studies can be used in robot-assisted cognitive training for children with disabilities\, highlighting the role of fundamental science in applied research. \nThis talk will take place as part of SCIoI member Jonas Frenkel’s seminar “Artificial Social Intelligence.” It aims to provide a comprehensive exploration of ASI\, which involves the observation\, analysis\, and synthesis of social phenomena. It integrates synthetic sciences such as machine learning\, computer vision\, and robotics with cognitive science\, psychology\, neuroscience\, and the humanities to focus on the perception\, cognitive components\, and behaviors linked to social intelligence. \nPhoto by Zak on Unsplash.
URL:https://www.scienceofintelligence.de/event/agnieszka-wykowska-the-italian-institute-of-technology-genoa/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2025/01/Agnieszka2-e1736785356683.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250213T100000
DTEND;TZID=Europe/Berlin:20250213T110000
DTSTAMP:20260428T074641
CREATED:20250108T103243Z
LAST-MODIFIED:20250603T124226Z
UID:23032-1739440800-1739444400@www.scienceofintelligence.de
SUMMARY:Marina Papadopoulou (University of Tuscia)\, “Behavioural Rules Underlying Self-Organized Animal Collectives”
DESCRIPTION:From the foraging of ungulates and primates to the bait balls of fish and the murmurations of starlings\, the dynamics of animal groups fascinate us with the mystery of their underlying social interactions. Identifying unique and common traits across systems can help us understand the self-organized mechanisms of their emergence\, as well as the ecological and evolutionary processes that shape this diversity. In this talk\, I will showcase ongoing projects on the collective behaviour of several species of vertebrates\, such as schools of Amazon mollies\, flocks of European starlings\, and troops of chacma baboons\, aiming to understand the cognitive rules involved in the dynamics of these collectives. Specifically\, I will focus on inter- and intra- specific variation in collective motion and decision-making\, the role of individual heterogeneity\, and the emergence of complex patterns of collective escape\, with methodological details on the analysis of empirical data\, the use of robotic predators and conspecifics\, and the development of data-inspired agent-based models. \nPhoto by Marek Piwnicki on Unsplash
URL:https://www.scienceofintelligence.de/event/marina-papadopoulou-university-of-tuscia-behavioural-rules-underlying-self-organized-animal-collectives/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2025/01/marek-piwnicki-8SqgP2vIwJk-unsplash.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250220T100000
DTEND;TZID=Europe/Berlin:20250220T110000
DTSTAMP:20260428T074641
CREATED:20250113T125547Z
LAST-MODIFIED:20250603T124213Z
UID:23115-1740045600-1740049200@www.scienceofintelligence.de
SUMMARY:Julten Abdelhalim\, “Mastering Confident & Quick-Witted Communication in Academia” Workshop
DESCRIPTION:In this one-hour workshop\, a toolbox of best-practise techniques for confident communication skills will be presented. This will equip attendees with a repertoire of rhetorical tools to communicate confidently and quick-wittedly in stressful situations. Participants will learn strategies to handle challenging questions and optimise their performance during academic debates. Another aim is to tackle dealing with harsh criticism\, personal attacks and knock-down arguments.
URL:https://www.scienceofintelligence.de/event/julten-abdelhalim-mastering-confident-quick-witted-communication-in-academia-workshop/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/05/abdelhalim-julten.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250224
DTEND;VALUE=DATE:20250301
DTSTAMP:20260428T074641
CREATED:20241217T110310Z
LAST-MODIFIED:20250219T122950Z
UID:22890-1740355200-1740787199@www.scienceofintelligence.de
SUMMARY:Winter School "Ethics of Neuroscience and AI" 2025
DESCRIPTION:Science of Intelligence\, the Berlin School of Mind and Brain and the Bernstein Center for Computational Neuroscience are happy to invite to the Berlin Winter School “Ethics of Neuroscience and AI” 2025. \nThe Winter School is a five days conference which covers a broad field of topics from philosophical ethics to ethics of research and animal experiments with a focus on ethics and AI in the last two days. \nScientific Organizers: John-Dylan Haynes\, Marten Kaas\, Thomas Schmidt
URL:https://www.scienceofintelligence.de/event/winter-school-ethics-of-neuroscience-and-ai-2025/
LOCATION:Campus Nord of Humboldt-Universität zu Berlin at Ostertag-Haus\, Philippstr.12\, House 4 10115 Berlin
CATEGORIES:External Event
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/12/Druck_neu_Winterschool_A2_2025-scaled-e1734433178550.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250227T160000
DTEND;TZID=Europe/Berlin:20250227T173000
DTSTAMP:20260428T074641
CREATED:20250108T103914Z
LAST-MODIFIED:20250603T124155Z
UID:23037-1740672000-1740677400@www.scienceofintelligence.de
SUMMARY:Florian Engert (Harvard University)\, “Attentional Switching in Larval Zebrafish”
DESCRIPTION:Decision making strategies in the face of conflicting or uncertain sensory input have been successfully described in many different species.  Here we analyze large behavioral datasets of larval zebrafish engaged in a ‘coherent dot’ optomotor assay. We find that animal performance is bimodal and can be separated into two ‘states’\, an engaged state where performance is high and fish consistently turn into the direction of the coherent motion\, and a second\, disengaged state\, where performance drops to chance. We find that a simple HMM is sufficient to model these transitions and fits our experimental data well. We find that this addition can be incorporated into an existing DDM framework that has previously been used to model perceptual decision making in larval zebrafish.  \nFurther\, we leverage the large behavioral data sets to fit a mixture model of performance distributions and extract two latent variables which we term ‘focus’ and ‘competence’. Whereas ‘competence’ quantifies performance while the fish is in the engaged state\, the ‘focus’ variable captures the relative duration for which each animal persists in the engaged state. We show that ‘focus’ may be largely inherited from the parents\, while ‘competence’ is more likely to be influenced by environmental context. This quantitative framework for analyzing decision making can be used to screen genetic perturbations for their impact on these two aspects of performance\, and potentially help to identify a genetic basis\, and a neural mechanism for attention\, that extends across organisms. \nThis talk will take place in person at SCIoI (room 2.057). \nPhoto by Lance Anderson on Unsplash.
URL:https://www.scienceofintelligence.de/event/florian-engert-harvard-university-attentional-switching-in-larval-zebrafish/
CATEGORIES:Distinguished Speaker Series
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2025/01/lance-anderson-G2SDLsJp3rg-unsplash-scaled.jpg
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