Deep learning methods are used in many application areas and work very efficiently after a training phase. However, in general no reliable statement can be made about their correctness. In contrast, t
The aim of the VerSys project is to develop a consistent platform for early software development based on RISC-V technology, an instruction set architecture for microprocessors which has been develope
SUITE tests concepts of machine learning and multi-agent technology in Smart Home. On the basis of smart meter data, intelligent audio systems, selected smart home sensors and building automation data
The ForeSight project idea emerged from the Smart Living business initiative. The aim of the project is to make a significant contribution to the further development of smart buildings and apartments
In the last few years information and communication technologies as well as sensors and applications that support personalized medical treatment increasingly emerged in health service – also known as