
Integrative AI
Integrative AI often relies on combined models of multiple AI techniques and there are many ways to create those models and the algorithms that act on them.

Lyrics Tutorial
Tutorial for the Lyrics framework, which provides a Python library to integrate learning from logic constraints and Deep learning models
Robotics4EU VR Exhibition
Robotics4EU’s VR exhibition features the most exciting and outstanding technological and robotics solutions from all around Europe, serving the purpose of the Robotics4EU project by empowering the EU-wide responsible robotics community and ensuring a more...
A toolbox of agents for scheduling the paint shop in bicycle industry
Modern manufacturing environments strive to support a great variety of products, driven by the large customization demand, while at the same time maintain low cost and fast response to the market. To cope with the challenging manufacturing requirements, o...

Scene Modification with MR-CKR and ASP
Implementation prototype for scene generation in Autonomous Driving with Multi-Relational CKRs and ASP with Algebraic Measures
AI4Hydro II
LexaTexer provides an Enterprise AI platform to support the energy value chain with prebuilt, configurable AI applications addressing CAPEX intense hydro assets like Pelton and Francis turbines and pumps. In this project we combine our Enterprise AI platf...
AI4Hotels data
Real electric load and occupancy data used to train the forecast models in the AI4Hotels project

Geoskop - ESFA: Time Series Forecaster component
Discover one of the breakthrough achievements of the ESFA project, a pioneer project in the field of Artificial Intelligence applied to Climate Prediction. Leveraging Geoskop’s revolutionary AI algorithms, housed in a Docker image, we provide unprecedente...