Artificial intelligence (AI) is a key technology with great potential for increasing productivity and efficiency. In the recent past, stunning results have been achieved by means of AI in the field of data analysis, pattern recognition and also content synthesis. These hurdles have mostly been overcome by means of deep neural networks (DNN) and by processing massive amounts of data (Big Data), which requires the use of powerful computers for computation. However, this is in stark contrast to the use of AI in sensors, energy-saving networked products and cost-optimized systems. The currently still frequently used approach of outsourcing AI to the cloud to circumvent this problem requires compromises in terms of latency and real-time capability and involves risks with regard to fail-safety and the protection of sensitive, including personal, data.