{"id":1701,"date":"2024-02-26T14:17:10","date_gmt":"2024-02-26T14:17:10","guid":{"rendered":"https:\/\/www.ecrts.org\/?page_id=1701"},"modified":"2024-07-15T13:36:49","modified_gmt":"2024-07-15T13:36:49","slug":"ml-rt-agenda-workshop","status":"publish","type":"page","link":"https:\/\/www.ecrts.org\/ml-rt-agenda-workshop\/","title":{"rendered":"ML-RT Agenda"},"content":{"rendered":"\n

Towards a research agenda for learning-enabled safety-critical real-time systems<\/strong><\/p>\n\n\n\n

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Workshop Goal<\/h2>\n\n\n\n

This workshop seeks to identify some central scientific issues that arise at the interface of Machine Learning and safety-critical real-time systems, that are of likely interest to the real-time computing community. The objective is to work towards defining a research agenda<\/strong> that both <\/p>\n\n\n\n

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  1. builds upon the technical competencies of the real-time systems community to address problems that must be solved so as to enable the safe and effective use of technologies and components based on Deep Learning and related AI technologies; and<\/li>\n\n\n\n
  2. looks to Machine Learning to further enrich the technical competencies of the real-time systems community.<\/li>\n<\/ol>\n\n\n\n

    Workshop Format <\/h2>\n\n\n\n

    A diverse set of activities and contributions are planned including invited keynotes, short talks, working sessions, and open discussions. To make the best of the day, we will primarily focus on two research themes (corresponding to the two enumerated objectives above):<\/p>\n\n\n\n

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    1. How can the expertise that is available in the real-time computing community help solve problems that arise when Learning-Enabled Components are used in safety-critical real-time systems?<\/li>\n\n\n\n
    2. How can recent developments in Machine Learning be adapted to further enrich the repertoire of techniques that are currently in use in the real-time systems community?<\/li>\n<\/ol>\n\n\n\n

      and form working sessions around them. Each working session will have a keynote and a few (invited\/ contributed) short talks, followed by open discussions. <\/p>\n\n\n\n

      Organizers<\/h2>\n\n\n\n