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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)

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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 backupbackup strategydigital organization
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.

Diffusion PolicyRoboticsSimulation
0 likes · 21 min read
How Close Is Embodied AI to Real-World Deployment in 2026?
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jul 9, 2026 · Artificial Intelligence

Computer Use Explained: How Large Models Can Take Over Your Screen and Mouse

The article introduces Computer Use, a technique that lets large language models directly observe, decide, and act on graphical user interfaces—enabling them to click, type, scroll, and switch windows without relying on APIs, thereby turning AI from mere conversation into executable software actions.

AI executionGUI automationLarge Language Models
0 likes · 4 min read
Computer Use Explained: How Large Models Can Take Over Your Screen and Mouse
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jul 5, 2026 · Backend Development

The Minimalist Coding Agent Pi: Design Choices, Trade‑offs, and Value

This article analyses Pi, a minimalist terminal‑based coding agent, comparing it with mainstream agents like Claude Code, Codex CLI, and OpenCode, and explains how its small core toolset, extensibility model, learning benefits, and security implications shape its practical value for developers.

CLI toolCoding AgentMinimalist Design
0 likes · 12 min read
The Minimalist Coding Agent Pi: Design Choices, Trade‑offs, and Value
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jul 2, 2026 · Artificial Intelligence

How BUPT NIRC’s Telco-Agent Won Global AI Telecom Challenge and Raised Autonomous Network Standards

The BUPT NIRC team captured the Open Telco AI Workshop & Hackathon global championship and a runner‑up spot in the Telco Troubleshooting Agentic Challenge by unveiling a hierarchical Telco‑Agent architecture that tackles LLM pitfalls, boosts diagnosis accuracy to 100%, cuts latency and token usage, and demonstrates a viable path for autonomous telecom network operations.

AIOpsBUPT NIRCGSMA
0 likes · 6 min read
How BUPT NIRC’s Telco-Agent Won Global AI Telecom Challenge and Raised Autonomous Network Standards