Recommendation ITU-T M.3381 provides requirements for energy saving management of a 5G radio access network (RAN) system with artificial intelligence…
ITU International Telecommunication Union
This Supplement provides an overview of the convergence of artificial intelligence and blockchain, and provides a technical reference for the…
This Recommendation supports the automation of the operation and maintenance for cable TV and broadband networks, typically the hybrid fibre…
This Recommendation specifies the protocol for managing intelligent network slicing with AI-assisted network analysis function in IMT-2020 networks. It describes…
Mechanism of traffic awareness for application-descriptor-agnostic traffic based on machine learning
Recommendation ITU-T Y.3180 specifies the mechanism of traffic awareness for application_x005F descriptor-agnostic traffic based on machine learning. This Recommendation specifies…
This Supplement analyses use cases for machine learning in future networks including IMT-2020, and presents them in a unified format.…
This Supplement presents the applications of machine learning (ML) in quantum key distribution networks (QKDNs). In particular, this Supplement includes:…
Recommendation ITU-T Y.3176 provides high-level requirements and the architecture for integrating machine learning (ML) marketplaces in future networks including IMT-2020.…
Recommendation ITU-T P.565 provides the output of the framework which is a machine learning based speech quality prediction model that…
Supplement 72 to ITU-T Y-series Recommendations provides the standardization roadmap for artificial intelligence (AI) in the field of information and…
Supplement 37 to Recommendation ITU-T X.1231 defines a technical framework for countering spam based on machine learning (ML). It may…
Recommendation ITU-T M.3385 provides a detailed evaluation framework, evaluation rating method and automatic evaluating process for intelligence levels of systems…