The central goal of KISSKI is to carry out research on AI methods and their provision in a highly available AI service centre for critical and sensitive infrastructures. The focus is on the socially highly relevant fields of health and energy. These are among the future fields of application-oriented AI research in Germany. The increasing complexity of tasks as well as the availability of ever more extensive amounts of data through new sensor and actuator technology offer great potential for the application of AI methods in these fields.
Investments in the necessary hardware infrastructure and access to expert knowledge are a major challenge, especially for small and medium-sized enterprises. A central concern of KISSKI is therefore to establish effective access to AI infrastructure, methods and expertise for such companies.
Both the energy and health sector represent critical and sensitive infrastructures, which places high demands on the use of AI methods. These include guaranteed response times (e.g. for the automated control of power grids or anomaly detection in monitoring data of intensive care units), strict requirements for data security, resilience against cyber attacks, and the interpretability of AI models. KISSKI aims to answer how AI models for critical infrastructure can be effectively applied to these demanding circumstances.
Make many of the developed concepts and services we will make usable for other application areas. In this way, numerous areas such as mobility, e-commerce, Industry 4.0 or biodiversity research can benefit from KISSKI.