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X-WR-CALNAME:Käte Hamburger Kolleg: Cultures of Research (c:o/re)
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DTSTART;TZID=Europe/Helsinki:20231108T170000
DTEND;TZID=Europe/Helsinki:20231108T183000
DTSTAMP:20260406T064451
CREATED:20230726T121020Z
LAST-MODIFIED:20231107T092745Z
UID:6846-1699462800-1699468200@khk.rwth-aachen.de
SUMMARY:Robot\, a Laboratory "Animal": Producing Knowledge through and about Human-Robot Interaction - Andrei Korbut
DESCRIPTION:Abstract: \nThe lecture focuses on the use of robots (primarily humanoid) in robotics laboratories to produce knowledge about human–robot interaction (HRI). Robotics is a large and diverse field\, but with the recent development of artificial conversational systems and the increasing availability of human-like machines\, HRI is now one of the fastest growing and most dynamic subfields in robotics. The lecture will introduce the conceptual framework for studying robots as contemporary laboratory “animals”\, based on the notion of different types of lifelikeness that can be ascribed to humanoid robots. It will argue that robots\, unlike other types of laboratory “living instruments”\, allow for a much closer connection between tools and objects in knowledge production because they hinder the perception of them as “natural objects”. \nThis event is part of our winter semester 2023/24 Lecture Series Lifelikeness. \nTo take part either online or in presence\, please register with events@khk.rwth-aachen.de.
URL:https://khk.rwth-aachen.de/event/evening-lecture/
LOCATION:Stadtpalais/Online\, Theaterstraße 75\, Aachen\, 52062\, Germany
CATEGORIES:Lecture Series,Lecture Series 2024,Lecture Series 23/24
ATTACH;FMTTYPE=image/png:https://khk.rwth-aachen.de/wp-content/uploads/2023/09/Lifelikeness_quadrat-e1695304700618.png
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DTSTART;TZID=Europe/Helsinki:20231122T170000
DTEND;TZID=Europe/Helsinki:20231122T183000
DTSTAMP:20260406T064451
CREATED:20230726T121253Z
LAST-MODIFIED:20231120T085013Z
UID:6848-1700672400-1700677800@khk.rwth-aachen.de
SUMMARY:Neuromorphic Computing: Inspiration from the Brain for Future AI Technologies - Emre Neftci
DESCRIPTION:Abstract: \nThe importance of understanding the principles of brain computation and incorporating them into artificial systems is often considered necessary to advance AI technologies. However\, the recent advent of large\, “Foundational” vision and language models casts doubt on this assumption\, as recent AI architectures differ considerably from the brain. Yet\, the human brain consumes far less energy to solve tasks similar to large AI models while demonstrating greater resilience to ambiguous cues\, physical damage\, and superior reasoning capabilities. This raises important questions: Can one emulate the brain’s efficiency and robustness? Will such brain-inspired solutions enhance state-of-the-art AI algorithms or will they lead to fundamentally different solutions? This lecture aims to shed light on these questions from the perspective of brain-inspired “neuromorphic computing”\, explaining how current AI was shaped by neuroscience\, what stands in the way of emulating the brain\, and the potential benefits of taking a deeper dive into how life shaped computation. \nThis event is part of our winter semester 2023/24 Lecture Series Lifelikeness. \nTo take part either online or in presence\, please register with events@khk.rwth-aachen.de.
URL:https://khk.rwth-aachen.de/event/lecture-series-lecture/
LOCATION:Stadtpalais/Online\, Theaterstraße 75\, Aachen\, 52062\, Germany
CATEGORIES:Lecture Series,Lecture Series 2024,Lecture Series 23/24
ATTACH;FMTTYPE=image/png:https://khk.rwth-aachen.de/wp-content/uploads/2023/09/Lifelikeness_quadrat-e1695304700618.png
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