Projects

Machine learning methods based on existing training data have proven to be very effective in identifying patterns and implicit dependencies even in ...

At the center of the three-year project is the prototypical development of a digital learning platform specializing in the field of artificial ...

Innovative Cyber-Physical System (CPS) to cover industrial production needs in the current technological context of Industry 4.0 Partners LORTEK S ...

The main objective of the TRAILER project is to develop a compound rover system consisting of (i) an agile and powerful rover, the so-called TRACTOR ...

Radar sensors are very important in the automotive industry because they have the ability to directly measure the speed of other road users. The DFKI ...

The Research and Innovation Centre on Advanced Industrial Production (RICAIP) unlocks the research and innovation capacity of CIIRC CTU and CEITEC ...

This project aims to develop the next generation of the digital twin, which is self-learning and proactive. This means firstly, it learns from ...

Unternehmen im GxP-regulierten Umfeld müssen beim Einsatz computerbasierter Systeme detaillierte Aufzeichnungen von produktions- und ...

Das Konzept der Smart Data Innovation Challenges (SDI-C) erweitert das Smart Data Innovation Lab (SDIL) um eine wichtige Komponente. Geforderte ...

HUSSAR aims at adapting existing methods from ray-based Monte Carlo simulations of visible wavelengths for radar and implementing them in a prototype. ...