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On Friday 1 September, TECoSA will host it's 13th Quarterly Meeting, starting with the official Testbeds Inauguration. An Outlook invitation has been circulated to TECoSA members and special guests! The plan for the afternoon is given below. For more information, please contact Martin Törngren (martint@kth.se) or James Gross (jamesgr@kth.se). Part 1: 13.00-15.00 - TECoSA Testbeds… Read More »TECoSA 13th Quarterly Meeting and Testbeds Inauguration
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Guest lecture by Nicolette Lakemond, Professor in Industrial Development at Linköping University As artificial intelligence (AI) is increasingly integrated into the context of complex products and systems (CoPS), making complex systems more intelligent, this presentation explores the consequences and presents research results on the implications for engineering management in emerging complex intelligent systems (CoIS). All… Read More »AI in the Context of Complex Intelligent System
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Half-way seminar for PhD student Rusyadi Ramli This seminar will present the role of boundary objects, explore the contextual factors of boundary objects, and discuss how to design effective boundary objects within the discourse on the co-engineering practice in the development of complex CPS. All with an interest in this topic are welcome to join… Read More »Boundary Objects within the Discourse on the Development of Complex CPS |
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We aim to bring you a TECoSA Seminar on the first Thursday of each month during term-time. All are welcome to attend and we look forward to some lively discussions. Members can accept the Outlook invitations, non-members can email tecosa-admin@kth.se to register. Our September seminar is with Dr Akhil Shetty, postdoctoral researcher at UC Berkeley… Read More »TECoSA Seminar – Safety Challenges for Automated Vehicles in the Absence of Connectivity |
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Speakers: Industrial PhD students Ahmad Terra (TECoSA, Ericsson) and Franco Ruggeri (Ericsson) Location: C435, Brinellvägen 85 (plan 4) Zoom link and sign-up link circulated to members Please email vickid@kth.se if you have any questions. ABSTRACT: Explainable Reinforcement Learning (XRL) primarily to provide explainability for black-box models to enable trust. XRL includes multiple methods applied to different… Read More »TECoSA Research Seminar: Explainable Reinforcement Learning for Telecom |
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