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network intelligence

4 articles · Page 1 of 1

Jun 14, 2026 · Industry Insights

MIIT Policy: AI Embedding into Communication Networks for Intelligent Infrastructure

China's MIIT releases a 2026-2028 policy to embed AI into communication networks, shifting from application-layer AI to intelligent infrastructure covering network autonomy, edge computing, fraud prevention, and integrated data-network-compute-scenario loops for real-time industrial applications.

5G-AdvancedAI in telecommunicationsMIIT policy

0 likes · 10 min read

MIIT Policy: AI Embedding into Communication Networks for Intelligent Infrastructure

DataFunSummit

Oct 7, 2023 · Artificial Intelligence

MLOps Implementation in Network Intelligence: Jiutian Platform Overview

This article presents the Jiutian Network Intelligence platform’s MLOps implementation at China Mobile, detailing its AI engineering workflow, platform functional and technical architecture, technology selections, model deployment, monitoring, and operational challenges, and shares insights on scaling AI services across 31 provinces.

AI EngineeringMLOpsnetwork intelligence

0 likes · 20 min read

MLOps Implementation in Network Intelligence: Jiutian Platform Overview

Network Intelligence Research Center (NIRC)

Jun 9, 2023 · Artificial Intelligence

2023 NIRC PhD Graduates Reveal Cutting-Edge AI and Network Intelligence Research

In 2023 the Network Intelligent Research Center celebrated its largest PhD graduating class—seven scholars whose dissertations span deep‑vision hand‑gesture estimation, multi‑scenario network transmission, graph alignment, interactive streaming, knowledge‑defined networking, wireless body‑area networking, and more—showcasing significant AI‑driven advances and high‑impact publications.

Computer VisionGraph AlignmentWireless Networks

0 likes · 30 min read

2023 NIRC PhD Graduates Reveal Cutting-Edge AI and Network Intelligence Research

AsiaInfo Technology: New Tech Exploration

Aug 15, 2022 · Artificial Intelligence

Federated Learning Elevates Mobile Network Intelligence: Architecture & Demo

This article reviews the evolution of federated learning, outlines its algorithms and standards, proposes centralized and decentralized network‑intelligence architectures for mobile communications, and presents a customer‑experience‑management case study that demonstrates how federated learning improves model accuracy and privacy across multiple regional nodes.

AIMobile Networkscase study

0 likes · 22 min read

Federated Learning Elevates Mobile Network Intelligence: Architecture & Demo