This Recommendation specifies the protocol for managing intelligent network slicing with AI-assisted network analysis function in IMT-2020 networks. It describes…

This Recommendation supports the automation of the operation and maintenance for cable TV and broadband networks, typically the hybrid fibre…

This Supplement provides an overview of the convergence of artificial intelligence and blockchain, and provides a technical reference for the…

Recommendation ITU-T Y.3180 specifies the mechanism of traffic awareness for application_x0002_descriptor-agnostic traffic based on machine learning. This Recommendation specifies the…

Recommendation ITU-T P.565 provides the output of the framework which is a machine learning based speech quality prediction model that…

This Recommendation provides high-level requirements and the architecture for integration of ML marketplaces in future networks including IMT-2020. The scope…

Recommendation ITU-T Y.3182 describes an intelligent cost-effective network management and orchestration framework that can cope with the challenges of multi-domain…

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:…

Supplement 37 to Recommendation ITU-T X.1231 defines a technical framework for countering spam based on machine learning (ML). It may…

Supplement 72 to ITU-T Y-series Recommendations provides the standardization roadmap for artificial intelligence (AI) in the field of information and…