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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)
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 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
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jun 30, 2026 · Artificial Intelligence

From Prompt to Loop: The Evolution of AI Development Paradigms

AI applications are shifting from single‑turn Q&A to systematic intelligence through four nested engineering stages—Prompt, Context, Harness, and Loop—each addressing communication, information supply, execution safety, and autonomous closed‑loop control, while exposing distinct limitations that drive the next paradigm.

AI systemsAgent ArchitectureContext Engineering
0 likes · 16 min read
From Prompt to Loop: The Evolution of AI Development Paradigms
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jun 25, 2026 · Industry Insights

How In‑Flight Wi‑Fi Is Transforming the World Cup Viewing Experience at 10 km Altitude

A Chinese airline turned a Chengdu‑Beijing flight into a free‑Wi‑Fi World Cup streaming hub, illustrating how satellite‑based in‑flight connectivity is evolving from costly add‑ons to essential, high‑throughput services that reshape passenger experience and drive a multi‑technology race among GEO, LEO, ATG and ground networks.

ATGGEO satellitesLEO constellations
0 likes · 11 min read
How In‑Flight Wi‑Fi Is Transforming the World Cup Viewing Experience at 10 km Altitude
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jun 22, 2026 · Artificial Intelligence

Highlights from CVPR 2026: Four NIRC Papers on Video Anomaly Detection and Hand Modeling

The author recounts attending CVPR 2026 in Denver, summarizing four NIRC papers—Fine‑VAD, Alert‑CLIP, Clay‑to‑Stone, and a temporal‑content co‑aware diffusion model—while also describing the opening ceremony, poster sessions, workshops, networking with researchers, and memorable moments exploring the city.

CVPR 2026Computer VisionHand Modeling
0 likes · 8 min read
Highlights from CVPR 2026: Four NIRC Papers on Video Anomaly Detection and Hand Modeling
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jun 11, 2026 · Artificial Intelligence

Scaling Automated Formalization of Mathematics: Inside Meta’s AutoformBot and the ATLAS Lean 4 Library

Meta’s recent paper presents AutoformBot, a multi‑agent system that treats formalizing entire mathematics textbooks as a large‑scale software‑engineering project, generating the ATLAS Lean 4 library with over 45,000 declarations and demonstrating a 71 % success rate across 26 open‑access books.

AutoformBotLLM agentsLean 4
0 likes · 14 min read
Scaling Automated Formalization of Mathematics: Inside Meta’s AutoformBot and the ATLAS Lean 4 Library
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jun 4, 2026 · Artificial Intelligence

How DeepSeek‑V4 Achieves Million‑Token Context via Aggressive KV‑Cache Compression

DeepSeek‑V4 reaches a million‑token context window by aggressively compressing its KV‑cache and employing a hybrid attention scheme that combines Compressed Sparse Attention (CSA) for selective top‑k retrieval with Heavily Compressed Attention (HCA) for full‑attention over heavily merged entries, alongside mixed‑precision storage and other engineering optimizations.

Compressed Sparse AttentionDeepSeek V4Heavily Compressed Attention
0 likes · 7 min read
How DeepSeek‑V4 Achieves Million‑Token Context via Aggressive KV‑Cache Compression