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X-ORIGINAL-URL:https://www.tecosa.center.kth.se
X-WR-CALDESC:Events for TECoSA
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DTSTART:20210101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20220602T130000
DTEND;TZID=UTC:20220602T140000
DTSTAMP:20260612T205344
CREATED:20220422T131832Z
LAST-MODIFIED:20220601T143436Z
UID:5088-1654174800-1654178400@www.tecosa.center.kth.se
SUMMARY:TECoSA Seminar - Wearable Cognitive Assistance:  Vision\, Reality and Challenges
DESCRIPTION:We aim to bring you a TECoSA Seminar on the first Thursday of each month during term-time. For Spring 2022\, 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.\nThe final seminar this Spring is given in conjunction with the 8th Quarterly Meeting for members\, held in real life here in Stockholm.  However\, if you wish to join the seminar on-line\, you can do so via: https://kth-se.zoom.us/j/66857695267. \nOur guest speaker is Mahadev Satyanarayanan\, Professor of Computer Science at Carnegie Mellon University (also a member of TECoSA’s International Scientific Advisory Board)\, who will be addressing\nWearable Cognitive Assistance:  Vision\, Reality and Challenges \n \nABSTRACT:  Viewed as mobile computing systems with built-in sensing\, processing\, and persistent storage\, humans are the result of more than 1 billion years of evolution. Our chances of improving upon nature in a short time (say\, 10 years) are negligible if we are bound by the same rules as biological evolution. However\, we have a unique opportunity that is not available to nature\, namely\, to amplify human cognition in real time through low-latency\, wireless access to infrastructure resources. These resources can be larger\, heavier\, more energy hungry\, and more heat dissipative than could ever be carried or worn by a human user.   Edge Computing and 5G are key enablers of this vision.  We have been exploring wearable cognitive assistance since 2014\, and built close to 20 applications of this genre.   In this talk\, I will share what we have learned through this experience.   The potential for this emerging technology to improve human productivity in many domains is indisputable.  At the same time\, important challenges must be overcome to realize this potential. \nBIO:  Satya’s multi-decade research career has focused on the challenges of performance\, scalability\, availability and trust in information systems that reach from the cloud to the mobile edge of the Internet.  In the course of this work\, he has pioneered many advances in distributed systems\, mobile computing\, pervasive computing\, and the Internet of Things (IoT). Most recently\, his seminal 2009 publication “The Case for VM-based Cloudlets in Mobile Computing” and the ensuing research has  led to the emergence of Edge Computing.  Satya is the Carnegie Group University Professor of Computer Science at Carnegie Mellon University.  He received the PhD in Computer Science from Carnegie Mellon\, after Bachelor’s and Master’s degrees from the Indian Institute of Technology\, Madras. He is a Fellow of the ACM and the IEEE.  You can read more about his research at: http://www.cs.cmu.edu/~satya
URL:https://www.tecosa.center.kth.se/event/tecosa-seminar-wearable-cognitive-assistance-vision-reality-and-challenges/
CATEGORIES:Talks
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BEGIN:VEVENT
DTSTART;TZID=UTC:20220607T140000
DTEND;TZID=UTC:20220607T170000
DTSTAMP:20260612T205344
CREATED:20220411T085413Z
LAST-MODIFIED:20220411T144047Z
UID:5018-1654610400-1654621200@www.tecosa.center.kth.se
SUMMARY:TECoSA Course Module "Fundamentals of Bayesian Inference using Probabilistic Programming" (2/2)
DESCRIPTION:Attendance is free to all TECoSA members.  This module will run in collaboration with Digital Futures\, and participants can join in person or via Zoom.  To register\, please see: https://www.kth.se/form/6254058494395f32cdb8aaed \nFormat: Two 3-hour seminars plus preparation and homework\nLocation: KTH Campus (Digital Futures Hub) or Zoom\nTiming: Weds 1 June kl.14-17 and Weds 7 June kl.14-17 (all CET)\nModule led by: KTH: David Broman (dbro@kth.se)\nContent: *Basics of Bayesian inference (SMC\, MCMC); *Bayes rule\, probabilistic modeling; *Using probabilistic programming to solve Bayesian probabilistic problems. Given through interactive lectures\, hands-on exercises and take home exercises.
URL:https://www.tecosa.center.kth.se/event/tecosa-course-module-fundamentals-of-bayesian-inference-using-probabilistic-programming-2-2/
CATEGORIES:Talks,Workshops
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BEGIN:VEVENT
DTSTART;TZID=UTC:20220615T100000
DTEND;TZID=UTC:20220615T110000
DTSTAMP:20260612T205344
CREATED:20220429T145636Z
LAST-MODIFIED:20220601T115517Z
UID:5100-1655287200-1655290800@www.tecosa.center.kth.se
SUMMARY:Guest Seminar: Engineering Resilience for Cognitive Systems
DESCRIPTION:We are pleased to share this open seminar from guest speaker Professor Mario Trapp\, Director of the Fraunhofer Institute for Cognitive Systems IKS (Munich\, Germany).  It takes place in conjunction with a Half-time PhD Seminar & Discussion (13.00-15.00 Efficient Strategies for Safety Assurance of Automated Driving) and an Interactive Workshop (15.30-17.00 Holistic Technological Perspectives on Safety of Automated Driving Systems -Methods for Provision of evidence).  If you are interested in joining for some or all of this Resilience Meets Assurance day\, please email tecosa-admin@kth.se to register\, stating which session(s) and whether you would like to join in real life (KTH Campus) or via Zoom.  (Members can accept the Outlook invitations.) \n \nABSTRACT:  Resilience is currently one of the most popular terms as soon as it comes to the quality of software-intensive systems. Mostly\, however\, it is just used as a modern label for existing dependability concepts. But resilience is much more than that. It stands for the property of a system to optimize utility whilst preserving safety in uncertain contexts. This means  a tremendous change of principles. Resilience is about building flexible structures that are capable to adapt to even unforeseen contexts by changing their structure and their behavior – it is the goal to optimize utility whilst preserving safety\, it is not the goal to preserve a fixed structure and behavior that were specified a-priori without knowing the contexts the system would have to face. To this end\, systems must become aware of their own state and context and adapt themselves\, i.e. yielding real resilience requires self-adaptivity\, which comes along with a long list of challenges if it comes to safety-critical systems. \nThis talk will therefore provide a deeper insight into the concept of resilience\, how it differs from classical dependability\, and how to engineer resilient systems in safety-critical applications. To this end\, it will approach a definition of resilience based on existing work in the dependability field but also by revisiting the history of resilience in other disciplines. It will elaborate what we can learn from the physical\, psychological\, and ecological mechanisms of resilience and it will derive a conceptual framework for Cognitive Resilience that helps us to engineer resilient cognitive systems. \nBIO:  apl. Prof. Dr. habil. Mario Trapp is Director of the Fraunhofer Institute for Cognitive Systems IKS.  In 2005\, he obtained his PhD with distinction from the University of Kaiserslautern\, where he also did his habilitation in 2016. In 2005\, he joined Fraunhofer IESE\, where he was initially responsible as a department head for the topic area of safety-critical software before being head of the “Embedded Systems” division from 2009 to 2017. After being appointed Acting Director of Fraunhofer ESK (today Fraunhofer IKS) effective January 1\, 2018\, he assumed this role on a permanent basis on May 1\, 2019. \nFor many years\, Prof Trapp has been contributing his expertise in the development of innovative embedded systems in the context of successful partner projects\, in cooperation with both leading international corporations and small and medium-sized enterprises. His current personal research focus is on safety assurance for autonomous and distributed systems\, which form the technological basis of many future scenarios such as Industrie 4.0 or automated driving. \nHe is the author of numerous international scientific publications and teaches as an apl. Professor at the Department of Computer Science of the University of Kaiserslautern.  You can read more at: https://www.iks.fraunhofer.de/en/institute/director/mario-trapp.html
URL:https://www.tecosa.center.kth.se/event/guest-seminar-engineering-resilience-for-cognitive-systems/
CATEGORIES:Talks
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BEGIN:VEVENT
DTSTART;TZID=UTC:20220615T130000
DTEND;TZID=UTC:20220615T150000
DTSTAMP:20260612T205344
CREATED:20220517T131920Z
LAST-MODIFIED:20220518T110315Z
UID:5134-1655298000-1655305200@www.tecosa.center.kth.se
SUMMARY:Efficient Strategies for Safety Assurance of Automated Driving - half-time PhD seminar and discussion (Magnus Gyllenhammar with Prof Mario Trapp)
DESCRIPTION:This session takes place in conjunction with a Guest Seminar (10-11 Engineering Resilience for Cognitive Systems) and an Interactive Workshop (15.30-17.00 Holistic Technological Perspectives on Safety of Automated Driving Systems -Methods for Provision of evidence).  If you are interested in joining for some or all of this Resilience Meets Assurance day\, please email tecosa-admin@kth.se to register\, stating which session(s) and whether you would like to join in real life (KTH Campus) or via Zoom.  (Members can accept the Outlook invitations.) \n  \n \nMagnus Gyllenhammar\nABSTRACT: Automated Driving Systems (ADSs) promise enormous benefits to society in terms of increased comfort\, safety and efficiency of the transportation system\, effectively by relieving the vehicle operator from the responsibility of driving the vehicle. Contrary to previous generations of automotive systems\, common development and safety assurance practises no longer suffice to accommodate the increased system complexity and operational uncertainty inherent to an ADS. This is why we have yet to see a large scale deployment of ADSs on public roads\, despite recent technological progress and the promises made by several high-profile auto-makers. For that purpose\, I have in my research explored the research question: What are efficient strategies for safety assurance of ADSs? In this seminar\, I present my contributions to-date\, wherein some insights I have gained when tackling this research question are collected. In particular\, I divide my contributions into three themes: understanding the completeness of the development and verification task of the ADS; deriving a driving policy for the ADS with respect to quantitative safety requirements while incorporating knowledge from operational data\, and surveying the state-of-the art\, both general methods providing evidence for safety of the ADS as well as assurance methods. Leaning on these insights\, I present my intended next steps of my thesis: my intended research direction and the proposed research questions to guide me through to the dissertation. More specifically\, I intend to merge the existing approach of dynamic risk assessment\, wherein the decisions of the ADS are conditioned on the current operating conditions; and the precautionary safety approach\, where quantitative safety requirements are fulfilled through a probabilistic view of risk. Thereby\, I hope to provide an assurance approach that is both effective and efficient by considering risk\, from a statistical standpoint\, while\, in run-time\, conditionally deriving appropriate actions based on the experienced operating conditions of the ADS. \nThe presentation will be followed by a discussion led by Professor Mario Trapp\, Director of the Fraunhofer Institute for Cognitive Systems at IKS (Munich\, Germany).    \nBIO:  Magnus Gyllenhammar pursues a PhD at KTH Royal Institute of Technology as part of his employment at Zenseact in Gothenburg. His research focuses on finding efficient strategies for safety argumentation of ADSs\, especially focusing on dynamic risk assessment in relation to the fulfilment of a quantitative risk norm. He received a MSc. in Engineering Physics\, major in Complex Adaptive System\, from Chalmers University of Technology\, in 2016. In 2018 he joined Zenseact (then Zenuity) and has since worked on creating and realising data-driven strategies for verification and safety argumentation of ADSs.
URL:https://www.tecosa.center.kth.se/event/efficient-strategies-for-safety-assurance-of-automated-driving-half-time-phd-seminar-and-discussion-magnus-gyllenhammar-with-prof-mario-trapp/
CATEGORIES:PhD defense,Talks,Workshops
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