Neuromorphic computing is considered a key technology for future AI applications. The sophisticated nerve network of our human brain serves as a model. A central challenge for research is the very high energy consumption of chips for the required complex processing power. Within the ECSEL project TEMPO (Technology & Hardware for Neuromorphic Computing) the German consortium with participation of Fraunhofer EMFT is working on the development and evaluation of power-saving neuromorphic computing chips in the 22nm FDSOI technology node.