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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)
Oct 9, 2025 · Blockchain

Why Solana Is Emerging as a High‑Performance Blockchain Challenger to Ethereum

Solana, launched in 2020 as a high‑performance blockchain, uses Proof of History and a parallel runtime to achieve tens of thousands of TPS and sub‑cent gas fees, offering a superior user experience to Ethereum, yet it faces decentralization, security, and ecosystem compatibility challenges that will shape its future role in a multi‑chain landscape.

DecentralizationEthereumHigh TPS
0 likes · 7 min read
Why Solana Is Emerging as a High‑Performance Blockchain Challenger to Ethereum
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Sep 22, 2025 · Fundamentals

Getting Started with Tree-sitter: High‑Performance Code Parsing and Multi‑Language SQL Extraction

Tree-sitter is a high‑performance incremental parsing library that supports over 50 languages; the article explains its core features, typical use cases such as editor syntax highlighting and static analysis, and walks through a concrete multi‑language SQL extraction implementation in Java, Python, and XML.

JavaPythonSQL extraction
0 likes · 6 min read
Getting Started with Tree-sitter: High‑Performance Code Parsing and Multi‑Language SQL Extraction
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Sep 17, 2025 · Industry Insights

Inside the Airborne Unmanned Combat Formation of China’s 93rd Parade

The article examines the PLA’s airborne unmanned combat formation showcased at the 93rd parade, detailing legacy drones Attack‑11 and Attack‑2, newly revealed unmanned wingmen, air‑superiority UAVs, and a shipborne unmanned helicopter, and explains how each platform advances China’s information‑centric, AI‑enabled warfare.

Attack-11Chinese PLALoyal Wingman
0 likes · 9 min read
Inside the Airborne Unmanned Combat Formation of China’s 93rd Parade
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Sep 3, 2025 · Artificial Intelligence

Understanding AI Compilers: A TVM Example

The article explains how AI compilers transform high‑level models into efficient hardware code, using TVM to illustrate operator optimization, automated scheduling, and end‑to‑end compilation workflow with concrete code examples and performance considerations.

AI compilerDeep LearningTVM
0 likes · 8 min read
Understanding AI Compilers: A TVM Example
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Aug 27, 2025 · Artificial Intelligence

Perception‑R1: A Rule‑Based RL Method that Elevates Multimodal Model Vision

Perception‑R1, a post‑training framework that applies rule‑based reinforcement learning to existing multimodal LLMs, dramatically improves visual perception tasks such as grounding, OCR, counting and object detection, as demonstrated by extensive benchmarks and ablation studies.

GRPOPerception PolicyReward Modeling
0 likes · 10 min read
Perception‑R1: A Rule‑Based RL Method that Elevates Multimodal Model Vision
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jul 30, 2025 · Artificial Intelligence

Understanding Dexterous Hand Grasping in Embodied Intelligence

Dexterous hand grasping, a core challenge in embodied intelligence due to high degrees of freedom, is categorized into three approaches—ego-centric, object-centric, and ego-object interaction—each with distinct trade-offs, and the article cites representative works such as UniDexGrasp, GraspTTA, and DRO_Grasp.

Embodied IntelligenceUniDexGraspdexterous grasping
0 likes · 3 min read
Understanding Dexterous Hand Grasping in Embodied Intelligence