#AI research

145 related articles

2026年6月14日·3 min

Building a Cold Chain Logistics Optimization Research Project with Codex: A Complete Workflow from Scratch to PDF Paper

Learn how to use OpenAI Codex to build a complete cold chain logistics optimization research project from scratch, including simulated annealing implementation, experiments, figures, and LaTeX paper compilation.

2026年6月14日·4 min

AI Agent Systematic Learning Path: From Zero to Independent Development

A systematic AI Agent learning path covering core principles, Prompt engineering, RAG, multi-Agent collaboration, and hands-on projects for beginners.

2026年6月14日·2 min

Perplexity Partners with Intel: Local AI Models and Hybrid Inference Come to Laptops

Perplexity partners with Intel to bring local AI models and hybrid inference to Core Ultra Series 3 laptops. We break down the architecture, NPU capabilities, and the cloud-to-edge AI trend.

2026年6月14日·4 min

AI Agent Development: A Complete 6-Week Systematic Learning Roadmap

A 6-week systematic learning roadmap for AI Agent development, covering core architecture, ReAct principles, multi-agent collaboration, RAG integration, and deployment.

2026年6月14日·3 min

AI Now Writes Over 80% of Code: What Doubling Capability Every 4 Months Really Means

Anthropic reveals Claude now writes over 80% of its code, with AI capability doubling every four months. Three real cases show the speed of AI's rise and the shrinking window for human adaptation.

2026年6月14日·3 min

Replit President: Writing Code Will Become Insignificant — Ideas Are Everything

Replit's president shares insights on AI programming's future: how a 40M-user platform uses Claude to eliminate coding barriers, making natural language the new programming language.

2026年6月14日·3 min

Stripe Data Reveals an AI Startup Explosion: A New Business Paradigm Where New Company Creation Has Doubled

Stripe data shows new business creation nearly doubled YoY, surpassing pandemic peaks. A deep analysis of how AI is transforming startup speed, vertical SaaS, and global entrepreneurship.

2026年6月14日·2 min

Claude Code Chinese Practical Handbook: A Complete Beginner's Guide for Users in China

A detailed look at the Claude Code Chinese handbook on Feishu, covering setup, domestic LLM integration, commands, and templates for users in China.

2026年6月13日·2 min

Jeff Dean's Commencement Speech at UW Allen School: A Message to the Next Generation of Engineers in the AI Era

Jeff Dean delivers commencement speech at UW Allen School of Computer Science & Engineering, sharing insights with the next generation of CS graduates in the AI era.

2026年6月13日·3 min

Jeremy Howard Takes Aim at Anthropic: The Power Monopoly Paradox Behind AI Safety Narratives

fast.ai founder Jeremy Howard challenges Anthropic's AI safety strategy: using the strongest models for frontier research while restricting others. Is safety rhetoric just a competitive moat?

2026年6月13日·2 min

Deep Agents: Key Topics from the LangChain Chicago Meetup Explained

LangChain's Chicago Meetup spotlights Deep Agents — exploring the evolution from simple Agents to multi-layered reasoning and long-chain task execution.

2026年6月13日·3 min

AI Agent Core Architecture Breakdown: From Concept to Enterprise-Grade Intelligent Agent Development

Deep dive into AI Agent architecture: perception, brain, and action modules. Covers RAG memory systems, tool calling mechanisms, Chain of Thought reasoning, and enterprise agent development roadmap.

2026年6月13日·2 min

Hands-On Tutorial: Build an AI Agent from Scratch with 200 Lines of Python

Build an AI Agent from scratch with 200 lines of Python, covering prompts, memory, tool calling, RAG, and Skills — a practical guide for developers.

2026年6月13日·2 min

Anthropic Reverses Controversial Policy of Secretly Throttling AI Researchers Using Claude

Anthropic reverses its controversial policy of secretly throttling Claude Fable/Mythos responses to frontier LLM development requests after community backlash, raising critical questions about AI transparency.

2026年6月13日·2 min

In the Era of Incremental Model Upgrades, AI Platforms Are the Real Productivity Variable

AI model upgrades are hitting diminishing returns. The real differentiator is AI Agent platforms like Codex that restructure workflows — task orchestration, cross-device collaboration, and automation are what truly eliminate human overhead.

2026年6月13日·4 min

Learning Path for AI Agent Development: A Complete Guide from Core Architecture to Production Deployment

A complete learning path for AI Agent development covering core architecture, ReAct paradigm, multi-agent collaboration, RAG integration, and lightweight deployment to guide developers from basics to production.

2026年6月13日·3 min

CC Switch Tutorial: Connect Claude Code to Domestic Chinese LLMs Without a VPN

Step-by-step tutorial on using CC Switch to connect Claude Code to DeepSeek, Kimi, and other Chinese LLMs without a VPN or Claude account for low-cost AI coding.

2026年6月12日·3 min

Andrew Ng's New Course: A Complete Guide to Enhancing RAG with Knowledge Graphs

Deep dive into Andrew Ng's Knowledge Graphs for RAG course with Neo4j. Learn how knowledge graphs overcome traditional RAG limitations to enable cross-document relationship reasoning.

2026年6月12日·3 min

Five Key Differences Between Claude Code and Regular AI Chatbots

An in-depth comparison of five core differences between Claude Code and regular AI chatbots like ChatGPT, covering interaction, context, execution, memory, and tool integration for developers.

2026年6月12日·2 min

Claude Code Deep Dive: A Comprehensive Review of Code Accuracy, Context Understanding, and Automated Debugging

Deep dive into why Claude Code is called the strongest AI coding assistant — analyzing code accuracy, full project context understanding, and automated debugging vs. Cursor, Trae, and Copilot.