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X-ORIGINAL-URL:https://www.tecosa.center.kth.se
X-WR-CALDESC:Events for TECoSA
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DTSTART:20220101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20230503T090000
DTEND;TZID=UTC:20230503T120000
DTSTAMP:20230403T132914Z
CREATED:20230403T130112Z
LAST-MODIFIED:20230403T132914Z
UID:6321-1683104400-1683115200@www.tecosa.center.kth.se
SUMMARY:Digitalized Industry workshop: Exploring the Possibilities of Industry 5.0
DESCRIPTION:For full details\, and to register\, please see the Digital Futures event page.\nhttps://www.digitalfutures.kth.se/event/digitalized-industry-workshop-exploring-the-possibilities-of-industry-5-0/
URL:https://www.tecosa.center.kth.se/event/digitalized-industry-workshop-exploring-the-possibilities-of-industry-5-0/
CATEGORIES:Workshops
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BEGIN:VEVENT
DTSTART;TZID=UTC:20230504T150000
DTEND;TZID=UTC:20230504T160000
DTSTAMP:20230428T094253Z
CREATED:20230221T091640Z
LAST-MODIFIED:20230428T094253Z
UID:5692-1683212400-1683216000@www.tecosa.center.kth.se
SUMMARY:TECoSA Seminar - Cloud Robotics for Data-Driven Robotic Manipulation Research at Scale
DESCRIPTION:We aim to bring you a TECoSA Seminar on the first Thursday of each month during term-time. For Spring 2023\, the talks will be on-line or hybrid. All are welcome to attend and we look forward to some lively discussions. Members can accept the invitations\, non-members can email tecosa-admin@kth.se to register.\nOur May seminar is with Florian Pokorny\, Associate Professor of Machine Learning at the Division of Robotics\, Perception and Learning here at KTH. \n23.04.28 update: Please note that this event will take place in Zoom only: https://kth-se.zoom.us/j/66857695267 (not in Digital Futures Cafeteria as previously announced).\nABSTRACT: In this talk\, Dr Pokorny will discuss the challenges and opportunities surrounding large scale experimentation for machine learning driven robotic manipulation research. While it is accepted wisdom that the performance of state of the art machine learning algorithms in fields like language modelling and computer vision scales directly with available input data\, compute and model size\, many open questions regarding these scaling laws remain when it comes to physical interactions of robotic systems with the world\, where the complexity of data-driven learning may depend heavily on the physical characteristics of a given robotic manipulation task.  He will discuss some of his group’s research in this direction\, as well as the development of a new open source robotic system which will allow large scale execution of robotic experiments in a massively parallelized manner using a Cloud Robotics approach. \nBIO: Dr Pokorny’s current research focuses on two main directions: 1) machine learning algorithms with a geometric or topological flavour or which utilize insights about geometry in the context of other methods such as deep learning and 2) machine learning methods that are tailored for robotic manipulation or motion planning and which incorporate available domain knowledge and information about physics and configuration space geometry in order to be data efficient.  You can read more on his homepage: https://www.csc.kth.se/~fpokorny/
URL:https://www.tecosa.center.kth.se/event/tecosa-seminar-cloud-robotics-for-data-driven-robotic-manipulation-research-at-scale/
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20230522
DTEND;VALUE=DATE:20230525
DTSTAMP:20230224T105523Z
CREATED:20230224T105335Z
LAST-MODIFIED:20230224T105523Z
UID:5704-1684713600-1684972799@www.tecosa.center.kth.se
SUMMARY:Nordic Systems Engineering Tour\, Spring 2023
DESCRIPTION:Organised by the 5 Nordic Chapters of INCOSE – Norway\, Denmark\, Sweden\, Finland and Germany.\nThe  programme is being developed and will be published at \nhttps://www.nordic-systems-engineering-tour.com/
URL:https://www.tecosa.center.kth.se/event/nordic-systems-engineering-tour-spring-2023/
CATEGORIES:Talks
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BEGIN:VEVENT
DTSTART;TZID=UTC:20230526T120000
DTEND;TZID=UTC:20230526T130000
DTSTAMP:20230517T104219Z
CREATED:20230517T104219Z
LAST-MODIFIED:20230517T104219Z
UID:6471-1685102400-1685106000@www.tecosa.center.kth.se
SUMMARY:TECoSA Research Seminar: Efficient Monte Carlo Inference for Probabilistic Programming Languages
DESCRIPTION:Speaker:  Daniel Lundén\, TECoSA postdoc\nLocation: Gustaf Dahlander (floor 3\, Teknikringen 31\, KTH Campus)\nZoom link and sign-up link circulated to members\nPlease email vickid@kth.se if you have any questions. \nABSTRACT: Probabilistic programming languages (PPLs) allow users to express statistical inference problems that the PPL implementation then\, ideally\, solves automatically. In particular\, PPL users can focus on encoding their inference problems\, and need not concern themselves with the intricacies of inference. In the last decade\, PPL-related research have seen a dramatic increase\, with applications in research fields such as evolutionary biology\, epidemiology\, cognitive science\, motion forecasting\, computer vision\, database cleaning\, and inverse graphics. \nIn this seminar\, Daniel will give an introduction to PPLs\, their applications\, and my research. His research focuses on efficient implementations of Monte Carlo inference algorithms as part of PPL compilers\, with a particular interest in programming language theory\, compilers\, and static program analysis. \nYou can read more about Daniel’s research at: https://dlunde.github.io/
URL:https://www.tecosa.center.kth.se/event/tecosa-research-seminar-efficient-monte-carlo-inference-for-probabilistic-programming-languages/
CATEGORIES:Talks
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