The role of RTU in the project is to ensure technical resources and competence in development and testing of AI software involving RTU IT specialists, as well as to coordinate the development of the learning platform and the range of offered courses.
In cooperation with the Barcelona Supercomputing Center (BSC), RTU will investigate machine learning approaches to wind turbine model development applied in wind farm simulations in order to enhance efficiency of power generation. The computing technologies for solving complex physical problems developed during the project will be employed to fulfil this applied task using joint experience and knowledge of the partners to project consortium for development and implementation of exascale AI solutions.
In cooperation with the European Organization for Nuclear Research (CERN), RTU will design innovative data processing methods for the Large Hadron Collider (High Luminosity LHC) (HL-LHC), which is currently being modernized and which is expected to be put into operation in 2027. Conventional detection algorithms for elementary particle collisions will be replaced with AI methods.
The algorithms developed during the project will be integrated and tested on the existing CERN software solutions to evaluate their capabilities and advantages under real working conditions processing big data. Within the project, it is planned to evaluate applicability of various contemporary HPC architecture solutions to current tasks, including graphics processing units (GPU) and field-programmable gate arrays (FPGA).