Artificial Intelligence (AI) has become a major innovative force and a major pillar in the fourth industrial revolution. This trend has been acknowledged by the European Commission, who has pointed out how high-performance, intelligent, and secure networks are fundamental for the evolution of the multiservice Next Generation Internet (NGI). While great progress has been done in the accuracy and performance of AI-enabled platforms, their integration in autonomous decision-making and critical systems requires end-to-end quality assurance. AI@EDGE addresses these challenges harnessing the concept of 'reusable, secure, and trustworthy AI for network automation'. To this end, 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 supporting a diverse range of AI-enabled network applications. Cooperative perception for vehicular networks, secure, multi-stakeholder AI for Industrial Internet of Things, aerial infrastructure inspections, and in-flight entertainment are the uses cases targeted by AI@EDGE to maximise its commercial, societal, and environmental impact.

AI@EDGE: A secure and reusable artificial intelligence platform for edge computing

Mastinu G.;
2021-01-01

Abstract

Artificial Intelligence (AI) has become a major innovative force and a major pillar in the fourth industrial revolution. This trend has been acknowledged by the European Commission, who has pointed out how high-performance, intelligent, and secure networks are fundamental for the evolution of the multiservice Next Generation Internet (NGI). While great progress has been done in the accuracy and performance of AI-enabled platforms, their integration in autonomous decision-making and critical systems requires end-to-end quality assurance. AI@EDGE addresses these challenges harnessing the concept of 'reusable, secure, and trustworthy AI for network automation'. To this end, 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 supporting a diverse range of AI-enabled network applications. Cooperative perception for vehicular networks, secure, multi-stakeholder AI for Industrial Internet of Things, aerial infrastructure inspections, and in-flight entertainment are the uses cases targeted by AI@EDGE to maximise its commercial, societal, and environmental impact.
2021
2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021
978-1-6654-1526-2
5G
AI
Automation
Disaggregated RANs
Hardware acceleration
MEC
ML-based security
Serverless platforms
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1207732
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