In the LAMBDA framework, the collaboration between Fraunhofer IAIS and PUPIN was significantly strengtened by different joint activities including research proposals writing, solutions design for future commercial projects, and organizing scientific events.
In the LAMBDA framework, the collaboration between Fraunhofer IAIS and PUPIN was significantly strengtened by different joint activities including research proposals writing, solutions design for future commercial projects, and organizing scientific events.
A paper BIG DATA ANALYTICS: LECTURES FROM THE LAMBDA NETWORK was presented at the 10th eLearning Conference organized in Belgrade on 26-27 September 2019.
The Belgrade Metropolitan University in cooperation with the Mathematical Institute of SANU and the eSafety Association organized the eleventh BISEC'2019 International Conference on Information Security on 13th of September 2019. The BISEC'2019 conference was officially opened by the rector of Metropolitan University, Professor Dragan Domazet, who emphasized the importance of this conference for Serbia and the Region.
Digital Transformation - Shaping the Future, October 2nd - 4th 2019, Varaždin, CroatiaThe aim of the Conference is to be the interface of researchers involved in the development and application of methods and techniques in the field of information and intelligent systems.
Funded by "Spreading Excellence and Widening Participation" Work Programme 2016-2017, the LAMBDA (Learning, Applying, Multiplying Big Data Analytics) project aims the following goals:
Prof. Jens Lehmann from the University of Bonn in the panel discussion of the workshop of ‘New Trends in Representation Learning with Knowledge Graphs’
LAMBDA results were presented at the 18th International Conference on Computer Information Systems and Industrial Management Applications in Belgrade on 20th September 2019.
Introducing the LAMBDA project to prof. Young Im Cho, Gachon University, Korea (Keynote speaker).
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 809965.
