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,…
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…
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…
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…
ETSI GS ENI 006 V 2.1.1
Experiential Networked Intelligence (ENI) – Proof of Concepts Framework
This Work Item specifies a framework for use within ETSI ENI ISG to coordinate and promote public demonstrations of Proof…
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…
