By lowering the barriers for utilizing edge computing for artificial intelligence applications, BRAINE will open the door for European SMEs to leverage state of the art technologies, driving their development and growth as industry leaders in their sectors.

The BRAINE project’s overall aim is to boost the development of the Edge framework and, specifically, energy efficient hardware and AI empowered software systems, capable of processing Big Data at the Edge, supporting security, data privacy and sovereignty. BRAINE’s overall aim will be reached by targeting five fine-grained goals:

  • Devising an EC infrastructure that offers control, computing, acceleration, storage, and 5G networking at the Edge and excels in scalability, agility, security, data privacy, and data sovereignty in Big Data and AI for low latency and mission-critical applications.
  • Developing a future-proof Edge security framework and associated infrastructure. based on the latest software and hardware security technologies.
  • Developing a distributed and partly-autonomous system that takes data privacy and sovereignty into account on each and every decision regarding workload placement, data transfer, and computation, while guaranteeing interoperability with the environment.
  • Developing a heterogeneous, energy efficient Edge MicroDataCenter, suitable for stationed, mobile, and embedded autonomous applications, that goes beyond the current hardware and software architectures and offers Big Data processing and AI capabilities at the Edge.
  • Testing and demonstrating the effectiveness and generality of the BRAINE approach by evaluating multiple real-world use cases and scenarios that exhibit the required scalability, security, efficiency, agility, and flexibility concerns.

BRAINE provides a new vision for utilizing edge resources by providing novel network-edge workload distribution schemes. Predicting resource availability and workload demand, identifying trends, and taking proactive actions are all aspects of the novel workload distribution. The workload distribution technology developed in the context of BRAINE can be transferred to many other edge/fog computing environments to achieve different goals. Last but not least, BRAINE will have an important positive impact on the environment. Through BRAINE, edge computing can reduce this projected energy consumption by offloading many of the AI functions next to the end-users.

BRAINE will demonstrate edge computing enabling AI through four use cases: healthcare assisted living (case 1), hyperconnected smart city (case 2), robotics in Factory 4.0 (case 3) and supply chain Industry 4.0 (case 4); the use cases are supported by organizations with specific domain expertise.


3Ccar addresses the ever growing complexity in mobility systems, especially in Electrified Vehicles (EV). Complexity control and reduction, translated into highly innovative semiconductors, enable improved energy efficiency, while enhanced systems integration leads to significant cost reduction, all enabling widespread EV deployment. Highly reliable electronic active safety systems contribute to Safety in Traffic (“Zero Accident Driving”), while cooperative traffic management systems will contribute towards congestion-free traffic.

With the commitment of 48 partners, including major European semiconductor suppliers and two major car manufacturers, and according to its mission “3C”, 3Ccar will provide novel, Integrated Components for Complexity Control for the automotive and aviation domains. 

ECS Strategic Research Agenda focus areas:

Systems and Components: Architecture, Design and Integration

ECSEL Call 2019

Start date: 05/2020

Duration: 36 months

Project coordinator:

Filippo Cugini



Number of partners: 27

Number of countries: 14

Total investment: M€ 5

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