Organizing Committee
The LAMBDA Research-Industry Forum is a one-day event that brings together researchers and professionals from respectable EU Universities and companies and stakeholders from the West Balkan countries to discuss state-of-the-art in Big Data research and applications.
We're pleased to announce that the LAMBDA Plenary meeting was organized in Belgrade, Serbia at the Mihajlo Pupin Institute, on 17 June 2019.
We are glad to announce that the LAMBDA consortium met the Advisory Board Members at the Belgrade Art Hotel on June 17, 2019. During the 3-day events (Big Data Analytics Summer School, 18-20.06.2019), the PUPIN staff and other guests from West Balkan countries had opportunities to network with experts and internationally renowned Big data and semantic technologies professors.
Vadalog system, a Datalog-based system for performingcomplex logic reasoning tasks
An end-to-end open source machine learning platform.
Tools
Explore tools to support and accelerate TensorFlow workflows
Python is an interpreted, interactive, object-oriented programming language. It incorporates modules, exceptions, dynamic typing, very high level dynamic data types, and classes. Python is an extremely popular general-purpose, dynamic, and is a widely used language within the data science community.
MathWorks is the leading developer of mathematical computing software for engineers and scientists. More info at
SANSA is a big data processing engine for scalable processing of large-scale RDF data, please check SDA Web pages. SANSA uses Spark and Flink which offer fault-tolerant, highly available and scalable approaches to process massive sized datasets efficiently. SANSA provides the facilities for Semantic data representation, Querying, Inference, and Analytics.
SANSA-Stack’s core is a processing data flow engine that provides data distribution and fault tolerance for distributed computations over RDF large-scale datasets.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 809965.
