BEGIN:VCALENDAR PRODID:-//eluceo/ical//2.0/EN VERSION:2.0 CALSCALE:GREGORIAN BEGIN:VEVENT UID:2ba39dff4a4fb20be73cfcc0fa07cdbe DTSTAMP:20260716T113741Z SUMMARY:WASP Lighthouse at Lund Seminar - Edward A. Lee\, Distinguished Pro fessor Emeritus\, UC Berkeley DESCRIPTION:Contact: alexandros.sopasakis@math.lth.se\n\nCan a robot learn to ride a bike just by watching? Join us as Edward A. Lee (UC Berkeley) ex plores what the physical world knows that digital data never will. All are welcome\, no background needed. \;Coffee and fika will be served afte r the seminar. \;Please sign up here https://survey.mailing.lu.se/Surv ey/65629 before July 3rd.This is a WASP Lighthouse @ Lund Seminarhttps://l und-wasp-lighthouse.blogg.lu.se/welcome-to-wasp-lighthouse-at-lund/events- and-activities/is-information-digital-a-defense-of-reality/ \;Title: I s Information Digital? A Defense of RealityAbstract: Data-driven technique s\, such as large-language models\, have proven astonishingly powerful in recent years\, but progress has been much slower with cyber-physical syste ms such as robots. Many people assume this is because there is not enough training data. In this talk\, I explore a possible explanation that is muc h more fundamental. Specifically\, I ask the question of whether there is a fundamental difference between acquisition of knowledge through observat ion and acquisition of knowledge through embodied interaction. Can you lea rn to ride a bicycle by watching others ride a bicycle? In previous work\, I have used concepts from computer science (zero-knowledge proofs\, bisim ulation\, etc.) to show that there are things you can learn from embodied interaction that cannot be learned by objective observation. In this talk\ , I use Shannon information theory to argue that objective observation fal ls far short of revealing everything about physical reality. There is info rmation in the real world that cannot be represented digitally\, and objec tive observation can never acquire more than a small subset of this inform ation. In short\, learning to ride a bicycle may require getting on a bicy cle\, even for a robot. \;Bio: Edward A. Lee has been working on embed ded software systems for more than 45 years. After studying and working at Yale\, MIT\, and Bell Labs\, he landed at Berkeley\, where he is now Dist inguished Professor Emeritus and Professor of the Graduate School in EECS. He is co-founder of Xronos Inc. and  \;BDTI\, Inc. He leads the open- source software projects Lingua Franca and Ptolemy and is an author of boo ks on embedded systems\, signals and systems\, digital communication\, and philosophical and social implications of technology. His current research is focused on software for distributed cyber-physical systems and on what we can learn about humans from advances in AI.  \;More details can be found at https://eecs.berkeley.edu/~eal. \;\n\nMore information about the event: https://www.lunduniversity.lu.se/calendar/wasp-lighthouse-lund -seminar-edward-lee-distinguished-professor-emeritus-uc-berkeley DTSTART;TZID=GMT:20260710T120000 DTEND;TZID=GMT:20260710T130000 LOCATION:Teknodromen\, M-Hus END:VEVENT END:VCALENDAR