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The central approach for the KISSKI project is research into AI methods and their provision with the aim of enabling a highly available AI service centre for critical and sensitive infrastructures with a focus on the fields of medicine and energy. Due to their relevance to society as a whole, medicine and the energy industry are among the future fields of application-oriented AI research in Germany. Beyond technological developments, artificial intelligence (AI) has the potential to contribute significantly to social progress. This is particularly true in areas where digitalisation processes are increasingly gaining ground and complexity is high. For both medicine and the energy industry, the pressure to innovate, but also the potential, is immense due to the availability of more and more distributed information based on a multitude of new sensors and actuators. The increasing complexity of the tasks as well as the availability of very large data sets offer a high potential for the application of AI methods in both subject areas.
In addition, the Service and Competence Centre is open to requests from other subject areas and disciplines that are compatible with these mission goals and can benefit from the services and offerings provided.
Areas of application for AI methods in the energy industry include the challenges of feeding renewable energies (e.g. wind or solar energy), the coupling of sectors (electricity, heat, transport), intelligent management of controllable consumers and automated grid operation. Due to the large number of spatially distributed generators, consumers and active prosumers, the uncertainties but also the optimisation possibilities for an economic and secure energy supply increase enormously. A holistic control as well as a reliable monitoring of the system properties are no longer possible manually. The multitude of data streams from the individual energy grids, plants and markets that have been built up in recent years can only be meaningfully monitored, evaluated and integrated into innovative applications using intelligent data-driven methods. AI will be an essential enabler here.
As a non-profit limited company, the GWDG is the computing and data centre of the UGOE, including the UMG, and IT competence centre of the Max Planck Society. It offers the entire spectrum of IT services to more than 100,000 users from all over Germany. It has over 200 employees and a budget of EUR 16.8 million, of which EUR 1.2 million is third-party funding (as of 2021). Its services include the reliable provision of basic services such as collaborative tools, data storage and archiving, cloud services and server hosting. Research-related services are also represented, for example software services for data analysis and bioinformatics, software development for science, and especially scientific computing. These services are success-critical “enablers” for science and are oriented towards the needs of researchers. In addition, the GWDG conducts its own research in the field of applied computer science in order to be able to analyse new topics at an early stage and expand the range of services accordingly. Scientific computing and HPC services have been provided by the GWDG since its foundation in 1970. To this end, the GWDG operates several HPC systems, including the Tier2 system “Emmy” in its role as the Centre for National High Performance Computing (NHR). It is also one of the two central HPC competence and operations centres of DLR, for which it operates “CARO”, the second top 500 system alongside “Emmy”.
Julian Kunkel Stefanie Mühlhausen
Funding phase 1: 01.10.2022 - 31.12.2025
Funding phase 2: 01.01.2026 - 31.12.2027
This project is funded by the BMBF under grant no. 01 IS 22 093 A-E.
