Mr. NeC attended Realize Live Europe 2023 event hosted by Siemens. During the event, we not only shared the latest results of our...

Mr. NeC has recently developed a deep learning approach for understanding and predicting required changes in set points / controls such...

"Virtue is its own reward." (Socrates) In ACROBA a deep reinforcement learning agent forms so-to-speak the digital twin of a...

MRNEC recently developed within COGNIPLANT a methodology based on deep learning for predicting and preventing stops of parallel flow...

On the one hand, MRNEC develops deep learning models to support the project's use case partners in better understanding and predicting...

A flexible deep reinforcement learning agent reward / cost function and action control design on the basis of (repulsive and attractive)...

Working on COGNIPLANT and ACROBA I have come to conclusion that the problems set out in these projects for industries are certainly not...

In 1996, I submitted my Ph.D thesis on so-called dynamic scale-space theories for solving human and computer vision problems. These...

ACROBA will develop and demonstrate a novel concept for creating cognitive robotic platforms that are able to smoothly adapt to virtually...

Towards optimisation of performance energy and resource consumption in process industry.

Setting the scene. In COGNIPLANT, MRNEC develops deep (reinforcement) learning models. These models aim to support our use case partners...

PRESS RELEASE A successful kick-off meeting of the newly launched ACROBA Project – AI-Driven Cognitive Robotic Platform for Agile...

As part of COGNIPLANT project that started October 2019 we investigated during the first year deep learning approaches, methods and...