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DTSTART;TZID=Europe/Berlin:20250502T141500
DTEND;TZID=Europe/Berlin:20250502T154500
DTSTAMP:20260421T095503
CREATED:20250402T100615Z
LAST-MODIFIED:20250603T124009Z
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SUMMARY:Michael Levin (Tufts University)\, “Communication With Intelligence in Unconventional Embodiments: Bioelectricity as a Case Study”
DESCRIPTION:Embodiment is critical for intelligence; however\, the traditional concept of embodiment as movement in 3-dimensional space covers only a small slice of the way biology exploits embodiment. In this talk\, I will present a framework for understanding intelligence more broadly\, and show how the multiscale competency of bodies navigates many different kinds of spaces. I will use our findings in developmental bioelectricity as a case study for how an unconventional intelligence can be recognized and communicated with\, for exciting applications in regenerative medicine and cancer. I will also show novel multicellular life forms\, which highlight the remarkable plasticity of the agential material of life by self-constructing new embodied intelligences from un-modified cells. The emerging field of diverse intelligence merges biophysics\, computer science\, and cognitive science in a way that helps us relate to current and forthcoming beings\, with applications in science\, engineering\, and ethics. \n  \nBio\nMichael Levin is the Vannevar Bush Chair and Distinguished Professor of Biology at Tufts University\, where he directs both the Allen Discovery Center and the Tufts Center for Regenerative and Developmental Biology. Renowned for his pioneering work at the intersection of developmental biology\, synthetic biology\, and cognitive science\, Prof. Levin investigates how cells and tissues process information to control growth\, regeneration\, and form. His research explores the collective intelligence of cells\, bioelectric signaling\, and the emergence of cognition in both natural and synthetic organisms\, with applications ranging from regenerative medicine to synthetic bioengineering. Prof. Levin is widely recognized for co-discovering xenobots—programmable living machines made from frog cells—and has published over 350 scientific papers. His work has been featured in major scientific and popular media. For more information\, visit his lab website. \n  \nThis event will take place on site with the speaker joining on Zoom: https://tu-berlin.zoom-x.de/j/69207754612?pwd=IKxoTdY3dQWccHpce2nA0IsNkNxPHu.1 \nThis is part of Aravind Battaje‘s course “Mind\, Body\, Environment: An Interactive Seminar on Embodied Intelligence\,” a seminar introducing to key theories and research highlighting this shift in perspective through invited lectures from experts in the field and interactive sessions.
URL:https://www.scienceofintelligence.de/event/michael-levin-tufts-university/
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/2025/04/levin.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250506T140000
DTEND;TZID=Europe/Berlin:20250506T153000
DTSTAMP:20260421T095503
CREATED:20250226T121637Z
LAST-MODIFIED:20250409T100355Z
UID:23605-1746540000-1746545400@www.scienceofintelligence.de
SUMMARY:Pawel Romanczuk (Science of Intelligence)
DESCRIPTION:More details to follow. \nThis talk is part of David Mezey‘s course “Introduction to Modeling Collective Behavior\, ” a seminar on collective behavior research\, combined with multiple interactive elements. \n  \n  \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/pawel-romanczuk-science-of-intelligence/
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/2025/02/chatgtp2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250513T140000
DTEND;TZID=Europe/Berlin:20250513T153000
DTSTAMP:20260421T095503
CREATED:20250226T122030Z
LAST-MODIFIED:20250409T100403Z
UID:23609-1747144800-1747150200@www.scienceofintelligence.de
SUMMARY:Mate Nagy (MTA-ELTE Lendület Collective Behaviour Research Group\, Budapest)
DESCRIPTION:More details to follow. \nThis talk is part of David Mezey‘s course “Introduction to Modeling Collective Behavior\, ” a seminar on collective behavior research\, combined with multiple interactive elements. \n  \n  \n  \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/mate-nagy-mta-elte-lendulet-collective-behaviour-research-group-budapest/
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/2025/02/chatgtp3.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250527T140000
DTEND;TZID=Europe/Berlin:20250527T153000
DTSTAMP:20260421T095503
CREATED:20250226T122357Z
LAST-MODIFIED:20250409T100410Z
UID:23614-1748354400-1748359800@www.scienceofintelligence.de
SUMMARY:Jacob Davidson (Max Planck Institute for Animal Behavior\, Konstanz)
DESCRIPTION:More details to follow. \nThis talk is part of David Mezey‘s course “Introduction to Modeling Collective Behavior\, ” a seminar on collective behavior research\, combined with multiple interactive elements. \n  \n  \n  \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/jacob-davidson-max-planck-institute-for-animal-behavior-konstanz/
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/2025/02/chatgtp4.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250530T140000
DTEND;TZID=Europe/Berlin:20250530T160000
DTSTAMP:20260421T095503
CREATED:20250402T094459Z
LAST-MODIFIED:20250603T123920Z
UID:23998-1748613600-1748620800@www.scienceofintelligence.de
SUMMARY:Cornelia Fermüller (University of Maryland)\, “Computational Principles of Embodied Intelligence for Robust Motion Perception and Action”
DESCRIPTION:Abstract\nUnderstanding the computational principles of embodied intelligence is central to advancing robotic systems that perceive and act in complex environments. This talk explores key principles—low power consumption\, robustness\, and generalizability—as they emerge in the context of motion perception and action. For visual navigation\, evidence is presented that challenges the conventional SLAM paradigm\, which relies on correspondence estimation and 3D scene reconstruction. Instead\, 3D motion estimation and scene segmentation can be achieved using 1D normal flow measurements derived from image gradients\, offering a simpler and more robust alternative. The effectiveness of this approach is demonstrated through implementations on drones equipped with both standard and neuromorphic dynamic vision sensors. Further\, it is shown that physical interaction tasks do not necessarily require explicit depth estimation; rather\, distance can be inferred in action-dependent units grounded in control dynamics. Finally\, the role of visual motion in action understanding is examined\, focusing on how motion-derived primitives support robust and generalizable representations of action\, opening new avenues for embodied intelligence in robotic systems. \nThis talk is part of Aravind Battaje‘s course “Mind\, Body\, Environment: An Interactive Seminar on Embodied Intelligence\,” a seminar introducing to key theories and research highlighting this shift in perspective through invited lectures from experts in the field and interactive sessions. \nBio \nCornelia Fermüller is a Research Scientist at the University of Maryland’s Institute for Advanced Computer Studies (UMIACS)\, where she co-founded the Autonomy Cognition and Robotics (ARC) Lab and co-leads the Perception and Robotics Group. Her research lies at the intersection of computer vision\, robotics\, and human vision\, with a focus on biologically inspired solutions for active vision systems. She has made significant contributions to the understanding of visual perception by developing computational models for visual motion analysis\, 3D motion and shape estimation\, texture analysis\, and action recognition\, as well as integrating perception\, action\, and reasoning to enable cognitive robots to learn and interpret human manipulation actions. \nDr. Fermüller holds an M.S. from the University of Technology\, Graz\, and a Ph.D. in Applied Mathematics from the Technical University of Vienna. Her recent work emphasizes the use of event-based\, bio-inspired sensors for robust motion perception in challenging environments\, with applications ranging from fast motion perception for drones to autonomous driving in diverse lighting conditions. She is the principal investigator of an NSF-sponsored Science of Learning Center Network for Neuromorphic Engineering\, co-organizes the Neuromorphic Engineering and Cognition Workshop\, and has been recognized for her leadership in interdisciplinary research bridging computational modeling and psychophysical studies of human vision. \n  \nFor those who are not in Berlin but would like to join virtually:\nhttps://tu-berlin.zoom-x.de/j/69207754612?pwd=IKxoTdY3dQWccHpce2nA0IsNkNxPHu.1 \n  \nPhoto created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/cornelia-fermuller/
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/2025/02/chatgtp16.jpg
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