From Embedded to AI-powered Cyberphysical Systems and Beyond

Cyber-physical Systems of Systems (CPSoS) are large complex systems where physical elements interact with many distributed computing elements and human users. The main challenges associated with the design operation of reliable connected CPSs stream from continuously increasingly demands for resources availability, novel service of high added value and product quality, while adhering to requirements for low cost, low power and competitiveness in the global market. This paper puts forward a set of CPSoS systems aiming at developing models, architectures and software tools for allocating computing resources to CPS end devices, while autonomously detecting what cyber-physical processes will be performed by the device components including heterogeneous CPU elements and communication interfaces, GPUs, FPGA fabrics, and Software stacks. Collaborating in a decentralized way and ensuring the exchange of tasks and data without central intervention, the proposed projects are leveraging state of the art artificial intelligence technologies to improve their performance, reliability, robustness as well as security.