Interface and architecture Archives - Page 5 of 15

ITU-T Y.3174

Framework for data handling to enable machine learning in future networks including IMT-2020

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Data processing Interoperability System architecture Interface and architecture Process, management and governance

This Recommendation provides a framework for data handling to enable machine learning (ML) in future networks including International Mobile Telecommunications…

Published

Last Updated: 18 Jul 2024

ITU-T M.3080

Framework of artificial intelligence enhanced telecom operation and management (AITOM)

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Telecom and network-based services AI-specific Project management Security and resilience

System architecture System quality Interface and architecture Process, management and governance

This Recommendation provides a framework for artificial intelligence (AI) enhanced telecom operation and management (AITOM). It describes the functional framework…

Published

Last Updated: 18 Jul 2024

ITU-T Y.3173

Framework for evaluating intelligence levels of future networks including IMT-2020

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Telecom and network-based services AI-specific System architecture System quality

Interface and architecture Measurement and test methods

Recommendation ITU-T Y.3173 specifies a framework for evaluating the intelligence of future networks including IMT-2020 and a method for evaluating…

Published

Last Updated: 18 Jul 2024

ITU-T F.746.5

Framework for a language learning system based on speech and natural language processing (NLP) technology

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Horizontal AI-specific Interoperability System architecture

NLP - Speech recognition Interface and architecture

This Recommendation presents an overview of the framework for a language learning system based on speech and natural language processing…

Published

Last Updated: 18 Jul 2024

ETSI GS ENI 005 V 1.1.1

Experiential Networked Intelligence (ENI) – System Architecture

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Telecom and network-based services AI-specific Data processing Interoperability

System architecture Interface and architecture

The purpose of this work item is to draft a GS to define the software functional architecture of ENI. This…

Published

Last Updated: 18 Jul 2024

ETSI GR ENI 017 V 2.1.1

Experiential Networked Intelligence (ENI) – Overview of Prominent Control Loop Architectures

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Energy Telecom and network-based services AI-specific System architecture

Interface and architecture

The purpose of the present document is to provide information on prominent control loop architectures that can be used in…

Published

Last Updated: 18 Jul 2024

ETSI GR ENI 012 V 1.1.1

Experiential Networked Intelligence (ENI) – Reactive In-situ Flow Information Telemetry

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Telecom and network-based services AI-specific AI-enabling - Data Data processing

Data sharing Interoperability System architecture Interface and architecture

The present document will describe the motivation, requirements, and challenges of using flow-oriented on-path telemetry techniques which provides relevant measurement…

Published

Last Updated: 18 Jul 2024

ETSI GR ENI 007 V 1.1.1

Experiential Networked Intelligence (ENI) – ENI Definition of Categories for AI Application to Networks

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Telecom and network-based services AI-specific Interoperability Interface and architecture

Process, management and governance

This Work Item will address the aspects of gradual implementation of networked intelligence and specify a categorization framework for systems…

Published

Last Updated: 18 Jul 2024

ETSI GR ENI 008 V 2.1.1

Experiential Networked Intelligence (ENI) – InTent Aware Network Autonomicity (ITANA)

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Telecom and network-based services AI-specific Interoperability System architecture

Interface and architecture Process, management and governance

This document will discuss various design options, in terms of a set of new stand-alone and/or nested Functional Blocks, for…

Published

Last Updated: 18 Jul 2024

ETSI GR ENI 016 V 2.1.1

Experiential Networked Intelligence (ENI) – Functional Concepts for Modular System Operation

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Telecom and network-based services AI-specific Data collection System architecture

Interface and architecture Process, management and governance

The purpose of the present document is to provide information on software design principles for constructing modular systems to be…

Published

Last Updated: 18 Jul 2024

ITU-T H.862.5

Emotion enabled multimodal user interface based on artificial neural networks

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Horizontal AI-specific Human-computer interaction System architecture

Interface and architecture

This Recommendation describes the functional entities and architecture for emotion enabled multimodal user interface based on artificial neural networks. In…

Published

Last Updated: 18 Jul 2024

ISO 8000-110:2021 BS ISO 8000-110:2021

Data quality. Master data: Exchange of characteristic data: Syntax, semantic encoding, and conformance to data specification

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Horizontal AI-enabling - Data Data collection Data management

Data processing Data quality Data sharing Interface and architecture Product and performance requirements

This document specifies requirements for the exchange of messages that contain master data consisting of characteristic data. These requirements can…

Published

Last Updated: 18 Jul 2024

Content Type

Framework for data handling to enable machine learning in future networks including IMT-2020

Framework of artificial intelligence enhanced telecom operation and management (AITOM)

Framework for evaluating intelligence levels of future networks including IMT-2020

Framework for a language learning system based on speech and natural language processing (NLP) technology

Experiential Networked Intelligence (ENI) – System Architecture

Experiential Networked Intelligence (ENI) – Overview of Prominent Control Loop Architectures

Experiential Networked Intelligence (ENI) – ENI Definition of Categories for AI Application to Networks

Experiential Networked Intelligence (ENI) – InTent Aware Network Autonomicity (ITANA)

Experiential Networked Intelligence (ENI) – Functional Concepts for Modular System Operation

Emotion enabled multimodal user interface based on artificial neural networks

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