AI-specific Archives - Page 15 of 53

Recommendation ITU-T P.1402 introduces machine-learning techniques and their application for quality of service (QoS) and quality of experience (QoE) prediction…

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Last Updated: 18 Jul 2024

IEEE 2894

Guide for an Architectural Framework for Explainable Artificial Intelligence

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Horizontal AI-specific Accountability Accuracy and performance

Bias and discrimination Explainability and transparency Privacy Safety System architecture Interface and architecture Process, management and governance

This guide specifies an architectural framework that facilitates the adoption of explainable artificial intelligence (XAI). This guide defines an architectural…

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Last Updated: 18 Jul 2024

ITU-T Y.4471

Functional architecture of network-based driving assistance for autonomous vehicles

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Transport and autonomous vehicles - Road vehicles AI-specific Data management Data processing

Interoperability Safety System architecture Robotics and autonomous systems Interface and architecture

Recommendation ITU-T Y.4471 defines a reference functional architecture of network-based driving assistance (NDA) for autonomous vehicles. It clarifies the concept…

Published

Last Updated: 18 Jul 2024

ITU-T Y.3175

Functional architecture of machine learning-based quality of service assurance for the IMT-2020 network

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Telecom and network-based services AI-specific System architecture Interface and architecture See more

This Recommendation specifies a functional architecture of quality of service (QoS) assurance based on machine learning (ML) for the international…

Published

Last Updated: 18 Jul 2024

ITU-T Y.3178

Functional framework of artificial intelligence-based network service provisioning in future networks including IMT-2020

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

Interface and architecture Process, management and governance

This Recommendation specifies a functional framework for network service provisioning based on artificial intelligence (AI) in future networks, including international…

Published

Last Updated: 18 Jul 2024

ITU-T Y.3156

Framework of network slicing with AI-assisted analysis in IMT-2020 networks

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Vertical AI-specific Interoperability Security and resilience

System architecture Interface and architecture

Recommendation ITU-T Y.3156 describes the requirements and functional roles of AI-assisted analysis in support of the lifecycle management and orchestration…

Published

Last Updated: 18 Jul 2024

ISO/IEC 23053:2022 BS ISO/IEC 23053:2022

Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)

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Horizontal AI-specific Data collection Data processing

Foundational and terminology

This document establishes an Artificial Intelligence (AI) and Machine Learning (ML) framework for describing a generic AI system using ML…

Published

Last Updated: 18 Jul 2024

Content Type

Guide of good practices in matters of governance of ethical approaches within organizations

Guideline for the development of deep learning image recognition systems

Guideline for the development of deep learning image recognition systems in medicine

Guide for Verification of Autonomous Systems

Green and sustainable AI

Guidance for the development of machine-learning-based solutions for QoS/QoE prediction and network performance management in telecommunication scenarios

Guide for an Architectural Framework for Explainable Artificial Intelligence

Functional architecture of network-based driving assistance for autonomous vehicles

Functional architecture of machine learning-based quality of service assurance for the IMT-2020 network

Functional framework of artificial intelligence-based network service provisioning in future networks including IMT-2020

Framework of network slicing with AI-assisted analysis in IMT-2020 networks

Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)

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