H2020 5GPPP AI@EDGE: A secure and reusable Artificial Intelligence platform for Edge computing in beyond 5G Networks
Artificial Intelligence has become a major innovative force and it is one of the pillars of the fourth industrial revolution. While great progress has been done during the last years with respect to the accuracy and performance of AI-enabled platforms, their integration in potentially autonomous decision-making systems or even critical infrastructures requires end-to-end quality assurance.
AI@EDGE addresses the challenges harnessing the concept of “reusable, secure, and trustworthy AI for network automation”. In AI@EDGE European industries, academics and innovative SMEs commit to achieve an EU-wide impact on industry-relevant aspects of the AI-for-networks and networks-for-AI paradigms in beyond 5G systems. Cooperative perception for vehicular networks, secure, multi-stakeholder AI for IoT, aerial infrastructure inspections, and in-flight entertainment are the uses cases targeted by AI@EDGE to maximize the commercial, societal, and environmental impact.
To achieve the goal, AI@EDGE targets significant breakthroughs in two fields:
(i) general-purpose frameworks for closed-loop network automation capable of supporting flexible and programmable pipelines for the creation, utilization, and adaptation of the secure, reusable, and trustworthy AI/ML models; and
(ii) converged connect-compute platform for creating and managing resilient, elastic, and secure end-to-end slices capable of supporting a diverse range of AI-enabled network applications.
8BELLS will be involved in the development of a serverless architecture, leveraging different hardware acceleration solutions (FPGA, GPU, CPU) spanning from the terminals to the cloud for highly decentralized and distributed workload management and covering the entire cloud to terminal continuum.
Also, 8BELLS will help to achieve high measurable impact of the project results and to ultimately lead to a successful adoption of the AI@EDGE innovative features for creating and managing resilient, elastic, and secure end-to-end slices using AI in a serverless paradigm by focusing on the techno-economic and market analysis for the innovative AI@EDGE use cases.