VALAB CERTH/ITI
AI in Manufacturing is a topic of growing importance in many area such as smart manufacturing and Industry 4.0. This section presents references on on-going projects, pilot experiments in the field and initial results in that area.
OpenManufacturing ontology extends the OpenML ontology that contains classes for representing different aspects of machine learning. OpenManufacturing extends the base ontology adding two main classes and three taxonomies representing elements relevant to...
Jupyter notebook demonstrating usage of multivariate anomaly detection based on machine learning to process monitoring and detection of a suspicious state of a process.
Let’s explore how AI integration enhances simulation models, unlocking untapped potential in supply chain optimization. A game-changer for decision-making in logistics and beyond with STAM.
In the ever-evolving landscape of industry, staying at the forefront of innovation is imperative for sustained growth and success. Let’s learn more about TRYGONS SA and how the StairwAI programme helped develop their solution.
self-X autonomic supervised and unsupervised feature selection
Advanced automated design of simulation models and their use of soft-sensors
EU-funded XMANAI project deals with bringing explainable AI to the Industry, and this asset is an example of the models developed during the project.
Nine YouTube video lectures from winter school organized within DIH4AI project by DIH-CIIRC and coorganized by Munich and Saxony-Anhalt DIHs