AI-specific Archives - Page 16 of 69

ETSI GR NFV-IFA 012 V 3.1.1

Network Functions Virtualisation (NFV) Release 3 – Management and Orchestration – Report on Os-Ma-Nfvo reference point – application and service management use cases and recommendations

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This work item will entail work to specify the use cases and the corresponding recommendations that will guide the evolution…

Published

Last Updated: 18 Jul 2024

ETSI TS 103194 V 1.1.1

Network Technologies (NTECH) – Autonomic network engineering for the self-managing Future Internet (AFI) – Scenarios, Use Cases and Requirements for Autonomic/Self-Managing Future Internet

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

Interface and architecture

Transformation of ETSI GS AFI 001: Scenarios, Use Cases and Requirements for Autonomic/Self-Managing Future Internet, to a Technical Specification (TS),…

Published

Last Updated: 18 Jul 2024

ISO 16300-3 BSI Flex 1889 v1.0:2022-07

Natural language description for abstract scenarios for automated driving systems. Specification

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Transport and autonomous vehicles - Road vehicles AI-specific Explainability and transparency Safety

Robotics and autonomous systems Foundational and terminology

What does BSI Flex 1889 cover? BSI Flex 1889 v1.0 specifies requirements for a structured natural language format for test…

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Last Updated: 18 Jul 2024

AI RMF

NIST Artifical Intelligence Risk Management Framework

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Horizontal AI-specific Accountability Bias and discrimination

Explainability and transparency Human-computer interaction Organisational governance Privacy Risk management Robustness Safety Security and resilience Sustainability System lifecycle Process, management and governance

In collaboration with the private and public sectors, NIST has developed a framework to better manage risks to individuals, organizations,…

Published

Last Updated: 13 Jun 2025

ITU-T P.565.1

Machine learning model for the assessment of transmission network impact on speech quality for mobile packet-switched voice services

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Telecom and network-based services AI-specific Accuracy and performance System architecture

System quality Measurement and test methods Product and performance requirements

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

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Last Updated: 18 Jul 2024

SAE CRB 1

Managing the Development of Artificial Intelligence Software

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Horizontal AI-specific System lifecycle Process, management and governance See more

Expert systems are a wave of the information processing future. As time goes on they will become more and more…

Published

Last Updated: 13 Jun 2025

ITU-T Y.3180

Mechanism of traffic awareness for application-descriptor-agnostic traffic based on machine learning

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

Interoperability Security and resillience System architecture Interface and architecture Process, management and governance

Recommendation ITU-T Y.3180 specifies the mechanism of traffic awareness for application_x005F descriptor-agnostic traffic based on machine learning. This Recommendation specifies…

Published

Last Updated: 18 Jul 2024

ITU-T Y.3176

Machine learning marketplace integration in future networks including IMT-2020

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Horizontal AI-specific Interoperability Interface and architecture

Process, management and governance

Recommendation ITU-T Y.3176 provides high-level requirements and the architecture for integrating machine learning (ML) marketplaces in future networks including IMT-2020.…

Published

Last Updated: 18 Jul 2024

ITU-T Y Supplement 55

ITU-T Y.3170-series – Machine learning in future networks including IMT-2020: use cases

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

Process, management and governance Product and performance requirements

This Supplement analyses use cases for machine learning in future networks including IMT-2020, and presents them in a unified format.…

Published

Last Updated: 18 Jul 2024

ITU-T Y Supplement 70

ITU-T Y.3800-series – Quantum key distribution networks – Applications of machine learning

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Telecom and network-based services AI-specific Process, management and governance See more

This Supplement presents the applications of machine learning (ML) in quantum key distribution networks (QKDNs). In particular, this Supplement includes:…

Published

Last Updated: 18 Jul 2024

P2247.2

Interoperability Standards For Adaptive Instructional Systems

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Horizontal AI-specific Data sharing Interoperability

Interface and architecture

This standard defines interactions and exchanges among the components of adaptive instructional systems (AISs). This standard defines the data and…

Pre-draft

Last Updated: 18 Jul 2024

VDV 435-3-2

Internet of Mobility – IoM – Version handling

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Internet of things Telecom and network-based services AI-specific Data management

Process, management and governance

The topics defined in the documents of VDV 435-3-x are generally applicable and used everywhere in IoM. In the parts…

Published

Last Updated: 13 Jun 2025

Content Type

Network Functions Virtualisation (NFV) Release 3 – Management and Orchestration – Report on Os-Ma-Nfvo reference point – application and service management use cases and recommendations

Network Technologies (NTECH) – Autonomic network engineering for the self-managing Future Internet (AFI) – Scenarios, Use Cases and Requirements for Autonomic/Self-Managing Future Internet

Natural language description for abstract scenarios for automated driving systems. Specification

NIST Artifical Intelligence Risk Management Framework

Machine learning model for the assessment of transmission network impact on speech quality for mobile packet-switched voice services

Managing the Development of Artificial Intelligence Software

Machine learning marketplace integration in future networks including IMT-2020

ITU-T Y.3170-series – Machine learning in future networks including IMT-2020: use cases

ITU-T Y.3800-series – Quantum key distribution networks – Applications of machine learning

Internet of Mobility – IoM – Version handling

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