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ISO/IEC 23053:2022
BS ISO/IEC 23053:2022
Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)
This document establishes an Artificial Intelligence (AI) and Machine Learning (ML) framework for describing a generic AI system using ML…
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,…
Recommendation ITU-T Y.3173 specifies a framework for evaluating the intelligence of future networks including IMT-2020 and a method for evaluating…
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…
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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…
BS EN 17748-1
Foundational Body of Knowledge for the ICT Profession (ICT BoK). Part 1. Body of Knowledge
This document provides a reference of 42 knowledge units as required and applied in the Information and Communication Technology (ICT)…
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…