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.

Project objectives:

1. Providing intelligent processing of data and communication locally at the edge to enable real-time and safety-critical industrial applications.
2. Developing industrial-grade secure, safe and reliable solutions that can cope with cyberattacks and difficult network conditions.
3. Providing AI techniques on the edge that match with diverse computing powers contrary to relatively consistent computing power on the cloud. As different AI algorithms have different computing power requirements, it is a big challenge to match an existing algorithm with the certain edge platform.
4. Distribute and divide the complex AI operations between the cloud and edge, with edge undertaking early intelligent data processing reducing the bandwidth of data being transmitted to cloud; and building the hardware and software infrastructure to provide for this in Europe.
5. Providing data sharing and collaborating solutions on the edge to handle the temporal-spatial diversity of edge data.
6. Developing solutions for IoT, i.e. mostly wireless devices with energy- and processing- constraints, in heterogeneous and also hostile/harsh environments.
7. Providing re-usable solutions across industrial domains. 
8. Methodological approach with the Integral Supply Chain, from academic, to system designers and integrators, to component providers, applications and services developers & providers and end users.