Topics Archive - Page 65 of 331

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

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Last Updated: 24 Apr 2024

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

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Last Updated: 24 Apr 2024

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Standard for XAI – eXplainable Artificial Intelligence – for Achieving Clarity and Interoperability of AI Systems Design

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Last Updated: 24 Apr 2024

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Artificial Intelligence (AI) – Assessment of the robustness of neural networks – Part 1: Overview

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Last Updated: 24 Apr 2024

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Transmission of language-based data between artificial intelligences – Specification of parameters and formats

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Last Updated: 24 Apr 2024

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Securing Artificial Intelligence (SAI) – Data Supply Chain Security

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Last Updated: 24 Apr 2024

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Securing Artificial Intelligence (SAI) – AI Threat Ontology

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Last Updated: 24 Apr 2024

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Railway applications – Guidance for the use of simulations – Guidance for the use of simulations to demonstrate compliance with technical and regulatory requirements and on the introduction and development of simulation requirements into standards

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Last Updated: 24 Apr 2024

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SmartM2M – Artificial Intelligence and the oneM2M architecture

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Last Updated: 24 Apr 2024

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Next Generation Protocols (NGP) – Self-Organizing Control and Management Planes

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Last Updated: 24 Apr 2024

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Securing Artificial Intelligence (SAI) – Mitigation Strategy Report

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Last Updated: 24 Apr 2024

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Securing Artificial Intelligence (SAI) – Problem Statement

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Share your thoughts on this standard with the AI Standards Hub community here.

Last Updated: 24 Apr 2024

Content Type

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

Standard for XAI – eXplainable Artificial Intelligence – for Achieving Clarity and Interoperability of AI Systems Design

Artificial Intelligence (AI) – Assessment of the robustness of neural networks – Part 1: Overview

Transmission of language-based data between artificial intelligences – Specification of parameters and formats

Securing Artificial Intelligence (SAI) – Data Supply Chain Security

Securing Artificial Intelligence (SAI) – AI Threat Ontology

Railway applications – Guidance for the use of simulations – Guidance for the use of simulations to demonstrate compliance with technical and regulatory requirements and on the introduction and development of simulation requirements into standards

SmartM2M – Artificial Intelligence and the oneM2M architecture

Next Generation Protocols (NGP) – Self-Organizing Control and Management Planes

Securing Artificial Intelligence (SAI) – Mitigation Strategy Report

Securing Artificial Intelligence (SAI) – Problem Statement

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