Distributed Knowledge Graphs Kick-off, September 2020
The Kick-off Meeting of the COST Action CA19134 - Distributed Knowledge Graphs was organized ONLINE on 23 and 24 of September 2020.
Stakeholder Engagement, Community Building, Dissemination and Exploitation
An innovative ICT technology to boost an energy-efficient lifestyle
We are glad to inform you that Dr. Marko Batić (PUPIN) presented the results of the InBetween project in a Webinar organized by the project Coordinator RINA (Italy).
Sustainability Measures and Activities, Innovation and IPR Management (Plan)
Funded by "Spreading Excellence and Widening Participation" Work Programme 2016-2017, the
LAMBDA (Learning, Applying, Multiplying Big Data Analytics) project pursuit two main goals:
Second Report on Communication activities and Dissemination Events
One of the specific objectives of LAMBDA (Learning, Applying, Multiplying Big Data Analytics) project is focused its efforts on formulating and delivering proper strategies and activities for dissemination and communication that will result in the best and most effective advertising of the project at local, regional and European, and international level.
eLearning-2020 Conference, September 2020, Serbia
The Belgrade Metropolitan University, The Open University of the Netherlands and The Mathematical Institute of the Serbian Academy of Science, are organizing The Eleventh International Conference on eLearning (eLearning-2020 Conference) that will be held on September 24-25, 2020 at Belgrade Metropolitan University, Belgrade, Serbia.
Knowledge Representation and Representation Learning, ECAI 2020, Spain
The workshop ‘Knowledge Representation & Representation Learning (KR4L)’ will be held in conjunction with the 24th European Conference on Artificial Intelligence (ECAI 2020). There currently is a perceived disconnect between the areas of Representation Learning (RL) and Knowledge Representation and Reasoning (KRR). Most of the research is currently concentrated on one area or the other, yet arguably representation learning is central to make use of knowledge representation and reasoning techniques in modern, scalable AI applications.
