Recent technological advances, especially in the field of machine learning, provide
astonishing progress on the road towards artificial general intelligence. However, tasks in …

Background: The increasing population of humans, changing food consumption behavior,
as well as the recent developments in the awareness for food sustainability, lead to new …

The self-improving system integration (SISSY) initiative has emerged in recent years in
response to a systems engineering trend towards the organisation of open, interconnected …

The research initiative “self-improving system integration”(SISSY) was established with the
goal to master the ever-changing demands of system organisation in the presence of …

We present a reformulation of the regression and classification, which aims to validate the
result of a machine learning algorithm. Our reformulation simplifies the original problem and …

Collectiveness is an important property of many systems—both natural and artificial. By
exploiting a large number of individuals, it is often possible to produce effects that go far …

Adapting to a dynamic environment is a critical challenge in deploying robust systems that
will be tasked with transmitting media streams in 5G networks. The Web Real-Time …

The goal of the paper is to develop and propose a general model of the state space of AI.
Given the breathtaking progress in AI research and technologies in recent years, such …

Under the growing complexity of manufacturing processes, supply chains, markets and
stakeholder expectations, enterprise risk management (ERM) has become an extremely …

The research initiative of self-improving and self-integrating systems (SISSY) emerged as
response to the dramatically increasing complexity in information and communication …