Revolutionizing Connectivity: Adaptable Machine-Learning Algorithms for Sustainable 5G Communication 

The goal of FunKI is the development and testing of adaptable machine-learning algorithms in communications systems, which efficiently and sustainably use existing resources and are based on the 5G system specifications. The project includes the design of the algorithms as well as the concrete feasibility/implementation as hardware. 

Creonic will contribute its know-how in hardware development of application specific microchip design with a focus on the development of a demonstration platform for research in FunKI. Creonic plans to further develop the designed circuits and software to extend its product portfolio in the area of IP cores.

Project Partners

Creonic GmbH, Kaiserslautern | Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI), Kaiserslautern | Motius GmbH, München | Nokia Solutions and Networks GmbH & Co. KG, Stuttgart | Intel Deutschland GmbH, München | Universität Stuttgart | RPTU Kaiserslautern |Universität Bremen