In collaboration with the private and public sectors, NIST has developed a framework to better manage risks to individuals, organizations,…
AI-specific
ETSI GR NFV-IFA 012 V 3.1.1
Network Functions Virtualisation (NFV) Release 3 – Management and Orchestration – Report on Os-Ma-Nfvo reference point – application and service management use cases and recommendations
This work item will entail work to specify the use cases and the corresponding recommendations that will guide the evolution…
ETSI TS 103194 V 1.1.1
Network Technologies (NTECH) – Autonomic network engineering for the self-managing Future Internet (AFI) – Scenarios, Use Cases and Requirements for Autonomic/Self-Managing Future Internet
Transformation of ETSI GS AFI 001: Scenarios, Use Cases and Requirements for Autonomic/Self-Managing Future Internet, to a Technical Specification (TS),…
ISO 16300-3
BSI Flex 1889 v1.0:2022-07
Natural language description for abstract scenarios for automated driving systems. Specification
What does BSI Flex 1889 cover? BSI Flex 1889 v1.0 specifies requirements for a structured natural language format for test…
ITU-T Y.3180
Mechanism of traffic awareness for application-descriptor-agnostic traffic based on machine learning
Recommendation ITU-T Y.3180 specifies the mechanism of traffic awareness for application_x005F descriptor-agnostic traffic based on machine learning. This Recommendation specifies…
Recommendation ITU-T Y.3176 provides high-level requirements and the architecture for integrating machine learning (ML) marketplaces in future networks including IMT-2020.…
Recommendation ITU-T P.565 provides the output of the framework which is a machine learning based speech quality prediction model that…
Expert systems are a wave of the information processing future. As time goes on they will become more and more…
VDV 435-3-2
Internet of Mobility – IoM – Version handling
The topics defined in the documents of VDV 435-3-x are generally applicable and used everywhere in IoM. In the parts…
ITU-T Y Supplement 55
ITU-T Y.3170-series – Machine learning in future networks including IMT-2020: use cases
This Supplement analyses use cases for machine learning in future networks including IMT-2020, and presents them in a unified format.…
ITU-T Y Supplement 70
ITU-T Y.3800-series – Quantum key distribution networks – Applications of machine learning
This Supplement presents the applications of machine learning (ML) in quantum key distribution networks (QKDNs). In particular, this Supplement includes:…
This standard defines interactions and exchanges among the components of adaptive instructional systems (AISs). This standard defines the data and…
