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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)
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 ArchitectureHarness 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 VisionGenerative Models
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.

AutoformBotFormal VerificationLLM Agents
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
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
May 25, 2026 · Artificial Intelligence

What Does On-Policy Distillation Really Teach Large Language Models?

On-Policy Distillation (OPD) trains large language models by letting the student generate its own inference paths while the teacher supplies token‑level guidance, offering denser signals than RL but sometimes failing when teacher and student reasoning diverge, as detailed by THUNLP’s recent study.

Distillation MetricsLarge Language ModelsOn-Policy Distillation
0 likes · 8 min read
What Does On-Policy Distillation Really Teach Large Language Models?
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
May 13, 2026 · Cloud Computing

How Alibaba Cloud’s AI‑Era Network Designs Redefine Data‑Center Architecture

The article traces the evolution of data‑center networking from general‑purpose cloud traffic to AI‑native designs—HPN for massive GPU scale‑out, UPN for super‑node scale‑up, and TPN for token‑centric inference—highlighting the shift from bandwidth to token throughput, latency, and cost.

AI data centerHPNNetwork Architecture
0 likes · 8 min read
How Alibaba Cloud’s AI‑Era Network Designs Redefine Data‑Center Architecture