This Recommendation provides a framework for artificial intelligence (AI) enhanced telecom operation and management (AITOM). It describes the functional framework…
ITU International Telecommunication Union
This Recommendation1 specifies a framework in the form of constraints, performance criteria and methods for the development of intrusive parametric,…
ITU-T F.746.5
Framework for a language learning system based on speech and natural language processing (NLP) technology
This Recommendation presents an overview of the framework for a language learning system based on speech and natural language processing…
ITU-T F.749.13
Framework and requirements for civilian unmanned aerial vehicle flight control using artificial intelligence
This Recommendation provides a framework of civilian unmanned aerial vehicle flight control using artificial intelligence (AI), including the flight navigation…
This Recommendation describes the functional entities and architecture for emotion enabled multimodal user interface based on artificial neural networks. In…
ITU-T L.1040
Effects of information and communication technology-enabled autonomy on vehicles longevity and waste creation
Recommendation ITU-T L.1040 establishes guidelines and requirements for information and communication technology original equipment manufacturer vendors providing equipment to autonomous…
ITU-T F.748.12
Deep learning software framework evaluation methodology
A deep learning software framework provides an easy and fast way for manufactures to develop their own artificial intelligence (AI)…
ITU-T L.1305
Data centre infrastructure management system based on big data and artificial intelligence technology
This Recommendation describes specifications of a data centre infrastructure management (DCIM) system based on big data and artificial intelligence (AI)…
ITU-T L Supplement 52
Computer processing, data management and energy perspective
This Recommendation provides system context, functional requirements and use cases for machine learning as a service (MLaaS). In particular, the…
Recommendation ITU‑T Y.3602 describes a model and operations for big data provenance. This Recommendation also provides the functional requirements for…
ITU-R BT.2447-2*ITU-R BT.2447
Artificial intelligence systems for programme production and exchange
New broadcasting technologies driven by artificial intelligence (AI) are being introduced to the broadcasting workflow. These technologies are intended to…
