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Network Intelligence Research Center (NIRC)
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Network Intelligence Research Center (NIRC)

NIRC is based on the National Key Laboratory of Network and Switching Technology at Beijing University of Posts and Telecommunications. It has built a technology matrix across four AI domains—intelligent cloud networking, natural language processing, computer vision, and machine learning systems—dedicated to solving real‑world problems, creating top‑tier systems, publishing high‑impact papers, and contributing significantly to the rapid advancement of China's network technology.

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Recent Articles

Latest from Network Intelligence Research Center (NIRC)

100 recent articles max
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Oct 9, 2026 · Fundamentals

Why Averages Lie: Simpson's Paradox Explained with a Concrete Example

This article explains Simpson's Paradox through a numerical example where Plan A outperforms Plan B in both simple and difficult tasks individually, but Plan B appears better when aggregated due to differing task distributions, illustrating how hidden variables can reverse aggregate conclusions and how to avoid such pitfalls.

AveragesData InterpretationHidden Variables
0 likes · 6 min read
Why Averages Lie: Simpson's Paradox Explained with a Concrete Example
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Sep 25, 2026 · Artificial Intelligence

Articulated Objects Explained: How Robots Grasp Moving 3D Worlds

This article introduces articulated objects — multi-part 3D structures connected by joints like hinges and sliders — explaining their core components (links and joints), common joint types (revolute and prismatic), and why understanding their motion is crucial for robot manipulation, digital twins, and interactive VR/AR environments.

Embodied AIVR/ARarticulated objects
0 likes · 5 min read
Articulated Objects Explained: How Robots Grasp Moving 3D Worlds
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Sep 4, 2026 · Fundamentals

Why 'Final Version' Never Is: A Systematic File Naming & Organization Guide

This guide presents a practical file naming convention (Project_Topic_Date_vVersion_Status) and a five-folder directory structure (00_Description, 01_Materials, 02_Working, 03_Delivery, 99_Archive) to eliminate version chaos, with rules for version increments, Git-based code collaboration, and a 3-2-1 backup strategy for researchers and developers.

3-2-1 backupResearch Workflowbackup strategy
0 likes · 7 min read
Why 'Final Version' Never Is: A Systematic File Naming & Organization Guide
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Aug 19, 2026 · Artificial Intelligence

DeepSeek Harness: An Open‑Source, Plugin‑First Agent Runtime Explained

DeepSeek Harness, released on August 13 under the MIT license, is an open‑source, plugin‑centric agent runtime that offers four operation modes, builds on the Cordis/Koshi framework, provides full model‑agnostic support, and includes detailed logging for reproducible AI workflows, while noting current limitations.

AI agentsAgent RuntimeDeepSeek Harness
0 likes · 5 min read
DeepSeek Harness: An Open‑Source, Plugin‑First Agent Runtime Explained
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Aug 16, 2026 · Artificial Intelligence

Can We Still Trust Our Eyes as AI-Generated Content Becomes Indistinguishable?

As AI-generated images, audio, and video become increasingly realistic, traditional visual cues for spotting fakes fade, prompting a shift toward technical defenses—detection, watermarking, and provenance—and a structured personal verification process to maintain trust.

AI authenticityAI-generated mediacontent provenance
0 likes · 8 min read
Can We Still Trust Our Eyes as AI-Generated Content Becomes Indistinguishable?
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jul 24, 2026 · Artificial Intelligence

When Large Models Begin to “Understand” Anomalies: The New Wave in Video Anomaly Detection

The article traces video anomaly detection from simple alarm‑style scores to semantic, open‑vocabulary understanding powered by vision‑language and large language models, highlighting recent CVPR 2024 work, emerging capabilities, and future evaluation criteria beyond raw detection accuracy.

LAVADVision-Language Modellarge language model
0 likes · 6 min read
When Large Models Begin to “Understand” Anomalies: The New Wave in Video Anomaly Detection
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jul 21, 2026 · Information Security

AI Programming Era: Uncovering the Trust Crisis Behind Code Assistants

The article analyzes recent security incidents involving AI coding assistants—Claude Code's hidden location detection and the GhostApproval symlink attack—explaining how covert techniques erode trust, blur data‑command boundaries, and expose software‑supply‑chain risks for developers.

AI programmingClaude CodeGhostApproval
0 likes · 9 min read
AI Programming Era: Uncovering the Trust Crisis Behind Code Assistants
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jul 17, 2026 · Artificial Intelligence

How Close Is Embodied AI to Real-World Deployment in 2026?

The article provides a 2026 panoramic analysis of embodied AI, explaining why the convergence of large models, world models, and mature hardware makes real‑world robot deployment the next milestone, and outlines technical breakthroughs, industry players, Chinese advantages, key challenges, and five‑year predictions.

Embodied AISimulationVLA
0 likes · 21 min read
How Close Is Embodied AI to Real-World Deployment in 2026?