Measurement and test methods Archives - Page 2 of 14

New IEEE Standard – Active. The requirements for a systems/software engineering process for privacy-oriented considerations regarding products, services, and systems…

Published

Last Updated: 24 Apr 2024

IEEE 2841-2022

IEEE Recommended Practice for Framework and Process for Deep Learning Evaluation

See more details

Horizontal AI-specific System quality Measurement and test methods

Process, management and governance

The recommendations on evaluating and improving algorithm reliability for shortening the development cycle of deep learning algorithm and improving the…

Published

Last Updated: 24 Apr 2024

IEEE 7010-2020

IEEE Recommended Practice for Assessing the Impact of Autonomous and Intelligent Systems on Human Well-Being

See more details

Horizontal AI-specific Accuracy and performance Human rights

Risk management System lifecycle Measurement and test methods

New IEEE Standard – Active. The impact of artificial intelligence or autonomous and intelligent systems (A/IS) on humans is measured…

Published

Last Updated: 24 Apr 2024

ITU-T L Supplement 42

Guidelines on the environmental efficiency of machine learning processes in supply chain management

See more details

Logistics and supply chain management AI-specific Explainability and transparency Security and resilience

Sustainability Measurement and test methods

This guidance document is intended to support machine learning (ML) researchers and operators to measure and improve the environmental efficiency…

Published

Last Updated: 24 Apr 2024

P2817

Guide for Verification of Autonomous Systems

See more details

Horizontal AI-specific Accuracy and performance Documentation

Risk management Safety System quality Robotics and autonomous systems Measurement and test methods Process, management and governance

This Guide for Verification of Autonomous Systems enables the user to define a customized process for verification of their autonomous…

Pre-draft

Last Updated: 24 Apr 2024

NWIP TR N 256

Green and sustainable AI

See more details

Energy Horizontal AI-specific Sustainability

System lifecycle Measurement and test methods Process, management and governance

The proposed document will establish a framework for quantification of environmental impact of AI and its long-term sustainability, and encourage…

Pre-draft

Last Updated: 24 Apr 2024

ISO 19157:2013 BS EN ISO 19157-1

Geographic information. Data quality. Part 1. General requirements

See more details

Horizontal AI-enabling - Data AI-enabling - Information management Data quality

Documentation Measurement and test methods Product and performance requirements

Published

Last Updated: 24 Apr 2024

ITU-T P.565

Framework for creation and performance testing of machine learning based models for the assessment of transmission network impact on speech quality for mobile packet-switched voice services

See more details

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

Measurement and test methods Process, management and governance Product and performance requirements

This Recommendation1 specifies a framework in the form of constraints, performance criteria and methods for the development of intrusive parametric,…

Published

Last Updated: 24 Apr 2024

ITU-T Y.3173

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

See more details

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: 24 Apr 2024

ETSI GR ENI 010 V 1.1.1

Experiential Networked Intelligence (ENI) – Evaluation of categories for AI application to Networks

See more details

Telecom and network-based services AI-specific Measurement and test methods See more

The purpose of this work item is to specify quantitative evaluation criteria of network autonomicity categories, which is defined in…

Published

Last Updated: 24 Apr 2024

Content Type

IEEE Standard for Performance Benchmarking for Artificial Intelligence Server Systems

IEEE Standard for Performance Benchmarking for Artificial Intelligence Server Systems

IEEE Standard for Data Privacy Process

IEEE Recommended Practice for Framework and Process for Deep Learning Evaluation

IEEE Recommended Practice for Assessing the Impact of Autonomous and Intelligent Systems on Human Well-Being

Guidelines on the environmental efficiency of machine learning processes in supply chain management

Guide for Verification of Autonomous Systems

Green and sustainable AI

Geographic information. Data quality. Part 1. General requirements

Framework for creation and performance testing of machine learning based models for the assessment of transmission network impact on speech quality for mobile packet-switched voice services

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

Experiential Networked Intelligence (ENI) – Evaluation of categories for AI application to Networks

Report abuse

Report submitted

Provide feedback on the site

Feedback submitted

Submit a missing item

Feedback submitted