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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)
Nov 11, 2025 · Artificial Intelligence

What Is Mechanistic Interpretability and Why It Matters for Large Language Models

The article defines mechanistic interpretability as reverse‑engineering LLMs to reveal how they represent knowledge and make decisions, explains its importance for transparency, risk mitigation, and model improvement, and surveys key techniques such as causal tracing, zero‑making, noise‑making, and logit‑lens methods with illustrative examples.

causal tracinglarge language modelslogit lens
0 likes · 8 min read
What Is Mechanistic Interpretability and Why It Matters for Large Language Models
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Nov 7, 2025 · Artificial Intelligence

Introducing LangGraph: A Low‑Level Framework for Building Stateful AI Agents

This article explains why modern LLM‑based applications need agent capabilities, introduces LangGraph’s core features such as stateful execution, graph‑based orchestration, tool integration, human‑in‑the‑loop and multi‑agent support, and provides a step‑by‑step Python example that builds a simple chat‑bot agent.

LLM agentsLangGraphPython example
0 likes · 11 min read
Introducing LangGraph: A Low‑Level Framework for Building Stateful AI Agents
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Nov 4, 2025 · Artificial Intelligence

SEAgent: A Self‑Evolving Computer Agent that Learns Software Use Autonomously

SEAgent introduces a self‑evolving framework that enables a GUI agent to master unfamiliar software through autonomous exploration and experience learning, leveraging a curriculum generator, a world‑state model, and GRPO‑based reinforcement with adversarial imitation, achieving state‑of‑the‑art performance on OSWorld.

Experience LearningGUI automationSEAgent
0 likes · 6 min read
SEAgent: A Self‑Evolving Computer Agent that Learns Software Use Autonomously
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Nov 1, 2025 · Artificial Intelligence

AutoCCL: Automatic NCCL Tuning to Boost Distributed Deep Learning Performance

AutoCCL analyzes NCCL’s six key performance parameters, uses coordinate‑descent and an online leader‑worker architecture to automatically adjust them during training, overcoming state‑space explosion and compute‑communication interference, and achieves 1.07‑1.32× faster iteration times on models such as Phi‑2, Llama‑3.1‑8B and VGG‑19.

AutoCCLCoordinate DescentDistributed Deep Learning
0 likes · 5 min read
AutoCCL: Automatic NCCL Tuning to Boost Distributed Deep Learning Performance
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Oct 24, 2025 · Artificial Intelligence

Next‑Gen VR Interaction via Micro‑Gesture Recognition: The “MiaoKong Virtual Realm” Demo

At Beijing University of Posts and Telecommunications' 70th anniversary, the Network Intelligence Research Center showcased a micro‑gesture‑driven VR system that captures millimeter‑scale finger motions with high‑precision, low‑latency hand tracking, delivering efficient, fatigue‑reducing interactions and earning strong audience approval.

Computer VisionVR interactionXR
0 likes · 8 min read
Next‑Gen VR Interaction via Micro‑Gesture Recognition: The “MiaoKong Virtual Realm” Demo
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Oct 17, 2025 · Artificial Intelligence

LucaOne: Unified Nucleic Acid & Protein Language Model Surpasses Other Models

Researchers present LucaOne, a Transformer‑based foundation model that unifies DNA/RNA and protein sequences using a 39‑token vocabulary, rotary positional encoding, and molecule‑type embeddings, and demonstrate through extensive multi‑task benchmarks that it outperforms domain‑specific models across seven biological tasks.

BioinformaticsDNAFoundation Model
0 likes · 5 min read
LucaOne: Unified Nucleic Acid & Protein Language Model Surpasses Other Models
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.

EthereumHigh TPSProof of History
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