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MENUMENU
  • EASE
        • A robotic arm in front of a supermarket shelf
        • EASE is an interdisciplinary research center at the University of Bremen that investigates everyday activity science & engineering.

          • About
          • Research
          • Community-based approach
          • Milestones
          • Publications
          • Career
  • open EASE
        • open EASE is the platform for all community-based initiatives of EASE, including a knowledge service, open-source software packages, open teaching and training projects, and cooperations.

          • Open Source Software
          • open EASE cloud service
          • Open Data
  • EASE Innovation
        • A robot get a cup from an other robot.
        • EASE Innovation supports activities which help to transfer new technologies from the labs to the “real world”. This includes applied research, transfer projects, and other innovation activities.

          • Innovation and Transfer Projects
          • Connect Research and Industry
          • The EASE Ecosystem
  • EASE Academy
        • People sit at tables and look to the front
        • EASE Academy provides teaching and training opportunities for doctoral students, university classes and students of secondary education, and teaching resources which are distributed online.

          • EASE Learning Hub
          • EASE Fall School
          • EASE Integrated Research Training Group
          • EASE Academy Members
          • EASE Academy Alumni
          • smile with EASE
          • School with EASE
  • EASE Learning Hub
  • EASE openLab
        • EASE opens its infrastructure to cooperate with international researchers on cognition-enabled robotic agents.

  • EASE Outreach
        • EASE Outreach is designed to raise awareness of EASE’s activities among media and the general public.

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  3. Distinguished Paper Award from IJCAI 2023

Distinguished Paper Award from IJCAI 2023

  • Post author:Lemasha Peiris
  • Post published:August 23, 2023
  • Post category:News

EASE PI Carsten Lutz received the prestigious “Distinguished Paper Award” at the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023). Their paper is Balder ten Cate, Maurice Funk, Jean Christoph Jung and Carsten Lutz: SAT-Based PAC Learning of Description Logic Concepts.

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