DAIS (Distributed Artificial Intelligent System) is a pan-European project bringing faster, more secure and energy efficient data processing solutions through the development of edge AI software and hardware components. DAIS approach is to provide trustworthy connectivity and interoperability by bringing the Internet of Things and Artificial Intelligence together in a distributed edge system for industrial applications. The project will feature a large variety of industry driven use cases embedded into the application domains, Digital Life, Digital Industry and Smart Mobility.

DAIS has the ambitious objective to develop intelligent and secure edge solutions for industrial applications for the European industry throughout the whole supply chain. More precisely, DAIS aims at:

• Providing intelligent processing of data and communication locally at the edge to enable real-time and safety-critical industrial applications.
• Developing industrial-grade secure, safe and reliable HW and SW solutions that can cope with cyberattacks and difficult network conditions.
• Providing AI techniques on the edge that match with diverse computing powers contrary to relatively consistent computing power on the cloud.
• Distributing and dividing the complex AI operations between the cloud and edge, with edge undertaking early intelligent data processing, hence reducing the bandwidth of data being transmitted to the cloud; and building the infrastructure (including hardware and software) to provide for this in Europe.
• Providing data sharing and collaborating solutions on the edge to handle the temporal-spatial diversity of edge data.
• Developing solutions for IoT, i.e., mostly wireless devices with energy and processing constraints, for heterogeneous and hostile/harsh environments.
• Providing re-usable solutions across industrial domains.
• Using a methodological approach with the integral supply chain, from academia to system designers and integrators, to component providers, applications and services developers & providers and end-users.