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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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Latest from Network Intelligence Research Center (NIRC)

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Network Intelligence Research Center (NIRC)

Apr 28, 2026 · Artificial Intelligence

How AI Learned to Read the Genomic “Dialects” of 300,000 People for Precise Expression Prediction

This article reviews a study that overcomes the limitation of reference‑genome‑only models by pre‑training a genomic language model on 300,000 European individuals’ variants, creating UKBioBERT and the two‑stage UKBioFormer, which together deliver markedly better gene‑function representations and personalized expression predictions across cell lines and populations.

UKBioBERTUKBioFormerfunctional genomics

0 likes · 7 min read

How AI Learned to Read the Genomic “Dialects” of 300,000 People for Precise Expression Prediction

Network Intelligence Research Center (NIRC)

Apr 16, 2026 · R&D Management

Why Research Success Depends on Managing Attention, Not Talent

The article argues that sustained, high‑quality attention, breaking large research tasks into small actionable steps, diligent record‑keeping, and steady incremental progress are far more critical to advancing graduate‑level research than raw talent or occasional inspiration.

attention managementincremental progressnote taking

0 likes · 3 min read

Why Research Success Depends on Managing Attention, Not Talent

Network Intelligence Research Center (NIRC)

Apr 13, 2026 · Artificial Intelligence

Claude Code Source Leak: Inside Its Hardcore Communication Architecture

An accidental source‑code leak lets us dissect Claude Code’s networking stack, revealing a RemoteSessionManager that orchestrates WebSocket‑based downlink, HTTP‑POST uplink, strict permission‑approval flows, layered content/control streams, and a bridge layer that filters, deduplicates, and accelerates local message dispatch.

AI programming toolClaude CodeHTTP POST

0 likes · 8 min read

Claude Code Source Leak: Inside Its Hardcore Communication Architecture

Network Intelligence Research Center (NIRC)

Mar 28, 2026 · Fundamentals

Git Installation and Basic Usage Guide

This article introduces Git as a distributed version‑control tool, explains what it does, walks through installing it on Windows, macOS, and Linux, shows how to configure a user name and email, and provides the essential commands for initializing repositories, committing changes, and working with remote repositories.

Basic CommandsGitInstallation

0 likes · 6 min read

Network Intelligence Research Center (NIRC)

Mar 21, 2026 · R&D Management

Master Graduate Research and Life with the Four‑Quadrant Time‑Management Method

The article introduces the classic four‑quadrant (Eisenhower) time‑management framework, explains each quadrant with concrete research and daily‑life examples, and provides a three‑step practical guide to help graduate students prioritize tasks, reduce anxiety, and focus on what truly matters.

Eisenhower matrixgraduate researchproductivity

0 likes · 5 min read

Master Graduate Research and Life with the Four‑Quadrant Time‑Management Method

Network Intelligence Research Center (NIRC)

Mar 18, 2026 · User Experience Design

Effortlessly Create Scientific Figures: 6 Practical Color Palette Websites

The article explains why default RGB colors often look harsh in scientific graphics, how better color choices improve readability and visual impact, and introduces six online tools—MyColor.Space, Colormind, Coolors, Adobe Color, Huemint, and Khroma—detailing their main features and providing direct links for quick adoption.

AI colorcolor palettedesign tools

0 likes · 6 min read

Effortlessly Create Scientific Figures: 6 Practical Color Palette Websites

Network Intelligence Research Center (NIRC)

Mar 3, 2026 · Artificial Intelligence

2026 AI 2.0: From Chatbots to Digital Executors via Reasoning, Multimodal, and Agents

By 2026, leading AI labs have turned large language models from simple chat tools into task‑execution engines through three upgrades—enhanced reasoning, built‑in multimodal perception, and autonomous agents—while open‑source projects accelerate the shift toward a digital operating system.

AI 2.0AI agentslarge language models

0 likes · 5 min read

2026 AI 2.0: From Chatbots to Digital Executors via Reasoning, Multimodal, and Agents

Network Intelligence Research Center (NIRC)

Feb 10, 2026 · Artificial Intelligence

How Google NotebookLM Boosts Research Efficiency with Precise Source Tracing

Google NotebookLM, built on Gemini 1.5 Pro, lets researchers upload PDFs, PPTs, text or audio and receive AI‑generated summaries, slide decks, mind maps and audio overviews that are tightly anchored to the original documents through clickable citation markers, dramatically improving workflow and credibility.

AI Research AssistantAudio OverviewGemini 1.5 Pro

0 likes · 6 min read

How Google NotebookLM Boosts Research Efficiency with Precise Source Tracing

Network Intelligence Research Center (NIRC)

Feb 3, 2026 · Artificial Intelligence

INCS: A DRL‑Based Intent‑Driven Network‑Wide Configuration Synthesis Framework

The article presents INCS, a novel framework that combines graph neural networks and deep reinforcement learning to achieve protocol‑agnostic, millisecond‑level, globally optimized network configuration synthesis, addressing scalability, protocol dependence, and lack of optimization in traditional SMT‑based methods, and demonstrates its superior performance on large‑scale topologies.

DDPGGraph Neural NetworkNetwork Synthesis

0 likes · 8 min read

INCS: A DRL‑Based Intent‑Driven Network‑Wide Configuration Synthesis Framework

Network Intelligence Research Center (NIRC)

Jan 31, 2026 · Artificial Intelligence

How Engram Lets Large Models Swap GPU Memory for Cheap RAM to ‘Look Up’ Knowledge

The article dissects DeepSeek’s new Engram architecture, which separates computation from memory by using a large, cheap‑RAM‑based lookup table to store factual knowledge, allowing the transformer’s compute layers to focus on reasoning, dramatically reducing GPU memory demand while improving code, math, and long‑context performance.

EngramGPU MemoryLarge Language Model

0 likes · 7 min read

How Engram Lets Large Models Swap GPU Memory for Cheap RAM to ‘Look Up’ Knowledge