System quality Archives - Page 4 of 13

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

Published

Last Updated: 18 Jul 2024

IEEE 7007-2021

IEEE Ontological Standard for Ethically Driven Robotics and Automation Systems

See more details

Horizontal AI-enabling Stakeholder engagement and communication System quality

Robotics and autonomous systems Foundational and terminology

A set of ontologies with different abstraction levels that contain concepts, definitions, axioms, and use cases that assist in the…

Published

Last Updated: 19 Jul 2024

PAS 277:2015 from BSI

Health and wellness apps. Quality criteria across the life cycle. Code of practice

See more details

Healthcare and medicine AI-enabling Project management Risk management

System lifecycle System quality Process, management and governance

What is PAS 277 – Health and wellness apps – Code of practise with quality standards for all stages of…

Published

Last Updated: 18 Jul 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: 18 Jul 2024

BS PAS 1880:2020

Guidelines for developing and assessing control systems for automated vehicles

See more details

Transport and autonomous vehicles - Road vehicles AI-specific Risk management Safety

Security and resilience System architecture System quality Robotics and autonomous systems Process, management and governance

What is PAS 1880 – Control systems for automated vehicles about? It sets out control system guidelines for automated vehicle…

Published

Last Updated: 18 Jul 2024

DIN SPEC 13266

Guideline for the development of deep learning image recognition systems

See more details

Horizontal AI-specific Data collection Data processing

Data quality System quality Computer vision - Image recognition Process, management and governance

This DIN SPEC in accordance with the PAS procedure has been drawn up by a DIN SPEC (PAS)-consortium set up…

Published

Last Updated: 18 Jul 2024

DIN SPEC 13288

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

See more details

Healthcare and medicine - Medical imaging AI-specific Data collection Data processing

Data quality System quality Computer vision - Image recognition Process, management and governance

This document gives the requirements, under which image recognition problems in medicine can be addressed using a Deep Learning image…

Published

Last Updated: 18 Jul 2024

ITU-T M.3080

Framework of artificial intelligence enhanced telecom operation and management (AITOM)

See more details

Telecom and network-based services AI-specific Project management Security and resilience

System architecture System quality Interface and architecture Process, management and governance

This Recommendation provides a framework for artificial intelligence (AI) enhanced telecom operation and management (AITOM). It describes the functional framework…

Published

Last Updated: 18 Jul 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: 18 Jul 2024

Content Type

Information technology – Artificial intelligence – Overview of trustworthiness in artificial intelligence

IEEE Standard for Performance Benchmarking for Artificial Intelligence Server Systems

IEEE Recommended Practice for Framework and Process for Deep Learning Evaluation

IEEE Ontological Standard for Ethically Driven Robotics and Automation Systems

Health and wellness apps. Quality criteria across the life cycle. Code of practice

Guide for Verification of Autonomous Systems

Guidelines for developing and assessing control systems for automated vehicles

Guideline for the development of deep learning image recognition systems

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

Framework of artificial intelligence enhanced telecom operation and management (AITOM)

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

Report abuse

Report submitted

Provide feedback on the site

Feedback submitted

Submit a missing item

Feedback submitted