The program aims to develop process technology and hardware platforms based on emerging memory technologies for neuromorphic computing, addressing future applications in mobile devices that need complex machine-learning algorithms. Ultimately, the end-goal of this pan-European collaboration effort is to cram the capabilities of today's cloud-based server racks into neuromorphic chips able to execute the same algorithms within battery-powered mobile devices such as cars and smartphones (at the edge of the internet-of-things). In the coming years, the demand for edge artificial intelligence and machine-learning algorithms is only set to grow further, running increasingly complex computational algorithms for natural-language processing, face-recognition-based security systems or autonomous vehicles. Today, high-end server parks process the data in the cloud, with the inevitable data latency and energy inefficiencies associated with sending the data, let alone privacy issues. Hence, the ultimate edge artificial intelligence applications will require intelligent energy-efficient local processing.