Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)
ISO/IEC 23053:2022 This document establishes an Artificial Intelligence (AI) and Machine Learning (ML) framework for describing a generic AI…
Framework of big-data-driven networking
This Recommendation specifies framework of big data driven networking. The scope of this recommendation includes the model architecture of big…
Framework of inter-cloud computing
Recommendation ITU-T Y.3511 describes the framework for interactions of multiple cloud service providers (CSPs), which is referred to as…
Feature Policy
This specification defines a mechanism that allows developers to selectively enable and disable use of various browser features and APIs.…
Fetch Metadata Request Headers
This document defines a set of Fetch metadata request headers that aim to provide servers with enough information to make a priori decisions…
Fog Computing Conceptual Model
The acute need of the multitude of smart, end-user IoT devices and near-user edge devices to carry out, with minimal latency, a substantial…
Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)
Under Development Status: Under development Publication Date: Category: Big Data Artificial Intelligence Working Group: Primary Source:…
Experiential Networked Intelligence (ENI);Evaluation of categories for AI application to Networks
The purpose of present document is to define quantitative evaluation criteria of network autonomicity categories, which are defined in the…
F.AI-SCS – Use cases and requirements for speech interaction of intelligent customer service
Take a look at what is happening. Status: Published Publication Date: 2021-10-30 Category: Artificial Intelligence Working Group: Primary…