This work item aims to specify a security framework of AI computing platform containing hardware and basic software to protect…
International
The intent of this work item is to extend from the published work of SAI to address the issues of…
ISO/TR 21934-1:2021
PD ISO/TR 21934-1:2021
Road vehicles. Prospective safety performance assessment of pre-crash technology by virtual simulation – State-of-the-art and general method overview
What is PD ISO/TR 21934‑1 about? PD ISO/TR 21934‑1 is part of the multi-series standard that describes the state-of-the-art of…
ISO 39003:2023
BS ISO 39003:2023
Road traffic safety (RTS) – Guidance on ethical considerations relating to safety for autonomous vehicles
This document gives guidance on ethical considerations with regards to road traffic safety of autonomous vehicles (AVs). It is applicable…
ITU-T L Suppl. 41 (05/2021)
Requirements on energy efficiency measurement models and the role of artificial intelligence and big data
Energy efficiency is a crucial issue for the sustainability of cities, today and in the future, especially due to the…
Recommendation M.3382 (06/22)
Requirements for work order processing in telecom management with artificial intelligence
Recommendation ITU-T M.3382 provides the requirements for work order processing in telecom management with artificial intelligence (AI). Based on AI…
Recommendation ITU-T F.742.1 describes application scenarios and requirements for smart class system based on artificial intelligence, including application scenarios, service…
ITU-T Y.3170 (09/2018)
Requirements for machine learning-based quality of service assurance for the IMT-2020 network
This recommendation specifies requirements of machine learning based QoS assurance for the international mobile telecommunications 2020 (IMT-2020) network. This recommendation…
Recommendation ITU-T M.3383 introduces the requirements for log analysis in telecom management with artificial intelligence (AI) and includes a functional…
ITU-T Y.4470 (08/2020)
Reference architecture of artificial intelligence service exposure for smart sustainable cities
This Recommendation establishes the concept of artificial intelligence service exposure (AISE) for smart sustainable cities (SSCs). The scope of this…
ITU-T Y.3812 (09/2022)
Quantum key distribution networks – Requirements for machine learning based quality of service assurance
Recommendation ITU-T Y.3812 specifies high-level and functional requirements of machine learning (ML) based quality of service (QoS) assurance for quantum…
ITU-T Y.3811 (09/2022)
Quantum key distribution networks – Functional architecture for quality of service assurance
Recommendation ITU-T Y.3811 specifies the functional architecture of quality of service (QoS) assurance for the quantum key distribution networks (QKDNs).…
