Recommendation ITU-T Y.3173 specifies a framework for evaluating the intelligence of future networks including IMT-2020 and a method for evaluating…
AI-specific
ITU-T Y.3174
Framework for data handling to enable machine learning in future networks including IMT-2020
This Recommendation provides a framework for data handling to enable machine learning (ML) in future networks including International Mobile Telecommunications…
This Recommendation provides a framework for artificial intelligence (AI) enhanced telecom operation and management (AITOM). It describes the functional framework…
This Recommendation1 specifies a framework in the form of constraints, performance criteria and methods for the development of intrusive parametric,…
ITU-T F.749.13
Framework and requirements for civilian unmanned aerial vehicle flight control using artificial intelligence
This Recommendation provides a framework of civilian unmanned aerial vehicle flight control using artificial intelligence (AI), including the flight navigation…
ETSI GR ENI 004 V 1.1.1
Experiential Networked Intelligence (ENI) – Terminology for Main Concepts in ENI
The WI will provide terms and definitions used within the scope of the ISG ENI, in order to achieve a…
ISO/IEC WD TS 24358
Face-aware capture subsystem specifications
The document will establish requirements and recommendations for face- aware systems, which: capture images automatically and semiautomatically; capture (output) images…
ITU-T F.746.5
Framework for a language learning system based on speech and natural language processing (NLP) technology
This Recommendation presents an overview of the framework for a language learning system based on speech and natural language processing…
ETSI GR ENI 017 V 2.1.1
Experiential Networked Intelligence (ENI) – Overview of Prominent Control Loop Architectures
The purpose of the present document is to provide information on prominent control loop architectures that can be used in…
ETSI GR ENI 018 V 2.1.1
Experiential Networked Intelligence (ENI) – Introduction to Artificial Intelligence Mechanisms for Modular Systems
The purpose of the present document is to provide information on different types of AI mechanisms that can be used…
ETSI GR ENI 012 V 1.1.1
Experiential Networked Intelligence (ENI) – Reactive In-situ Flow Information Telemetry
The present document will describe the motivation, requirements, and challenges of using flow-oriented on-path telemetry techniques which provides relevant measurement…
ETSI GS ENI 005 V 1.1.1
Experiential Networked Intelligence (ENI) – System Architecture
The purpose of this work item is to draft a GS to define the software functional architecture of ENI. This…
