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HelloGitHub — Discover Fun & Beginner-Friendly Open Source Projects > Interest is the best teacher — HelloGitHub makes you passionate about open source! Overview HelloGitHub curates practical, beginner-friendly, and exciting open-source projects from GitHub. > Repository: github.com/521xueweihan/HelloGitHub This collection includes: * Practical projects * Tutorials for beginners * Cutting-edge tools * Open-source books
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Microsoft Announces Cobalt 200: Next-Gen Azure ARM Processor At the recent Microsoft Ignite conference, the company introduced the Cobalt 200 — the successor to the Azure Cobalt 100 ARM processors. Key highlights: * 50% performance increase over Cobalt 100 * Integrated latest Microsoft security, networking, and storage technologies --- Adoption and Benchmark-Driven Design
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From Luban’s Rise and Fall: Lessons for AI Product Managers Key insight: Move beyond parameter worship — deeply understand user scenarios, balance technology with business, and anchor product logic in solving real problems. Through firsthand experience, this article dissects the deeper reasons for Alibaba’s Luban failure — and how those
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The Return of the Open‑Source AI Powerhouse — DeepSeek DeepSeek has made a powerful comeback in the AI community with the release of its new open‑source mathematics model — DeepSeekMath‑V2 — focused on self‑verifiable mathematical reasoning. --- Breakthrough Achievements DeepSeekMath‑V2 has delivered record‑setting scores: * IMO 2025: Gold
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The Surreal Arrival of DeepSeekMath-V2 Yesterday brought an almost cinematic coincidence — the kind you couldn’t script. Late last night, DeepSeek quietly launched a new AI model: DeepSeekMath-V2. --- What Is DeepSeekMath-V2? * Size: 685B parameters * Foundation: Built on DeepSeek-V3.2-Exp-Base * Speciality: Mathematics-focused reasoning * Key Feature: * > Not just producing answers
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Machine Heart Report: Ultra-Large MoE Inference Breakthroughs --- 2025 Landscape: Inference Efficiency Takes Center Stage As 2025 concludes, large AI models have evolved from niche tools into foundational infrastructure powering enterprise systems. In this shift, inference efficiency has become the critical factor for scalable deployment. For ultra-large-scale MoE (Mixture-of-Experts) models,
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Interview: Zhang Xiaojun × Tan Jie Google DeepMind Robotics – Foundation Models, Reinforcement Learning, and the Future of General-Purpose Robots Guest: Tan Jie, Senior Research Scientist & Technical Lead, Google DeepMind Robotics. He works on applying foundation models and deep reinforcement learning to robotics. --- Overview China’s robotics sector is often
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Data Structure Refactoring That Saved Nearly 3 GB JVM Heap Memory in Production This article explains how we refactored a core class’s data structure from `HashMap>` → FastUtil `Long2ObjectOpenHashMap`. By leveraging business data characteristics—tags as small integers, sparsely distributed—we replaced `HashSet` with sorted `int[]` arrays plus binary
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AI Future Compass — Paper Interpretation Series Breaking down top conference and journal works from the front line, using the most accessible language. --- Reflecting on AI in 2025: The Most Fragmented Year Yet Standing at the tail end of 2025, one thing is clear: this year marked the most fragmented
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 # **Ma Zhaoyuan — Professor, Southern University of Science and Technology** *(Jointly appointed by the School of Engineering and School of Business)* ## **AI: From Specialist Technology to Everyday Debate** Over the last two years, from **ChatGPT’s rise** to the
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# Weekly Technology Digest A curated collection of **tech news, tools, and resources worth sharing**, published every Friday. This magazine is **[open source](https://github.com/ruanyf/weekly)**, and contributions are welcome via **[submission](https://github.com/ruanyf/weekly/issues)**. We also offer a **[“Who’s Hiring”](https://github.com/ruanyf/
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# Alibaba AI Codefuse Overview This document describes how **CodeFuse**, Alibaba's enhanced AI programming system, enables **end-to-end automatic code generation** from natural language requirements—reshaping the software engineering paradigm. --- ## 1. Business Background The AI-driven transformation of software engineering is shifting from **tool-assisted coding** to fully **requirement-driven development**. **Vision