#deep learning operator fusion
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Text-to-CAD: How AI Agents Are Reshapi…
·3 min
Text-to-CAD: How AI Agents Are Reshaping Hardware Design Workflows
Explore how the open-source text-to-cad project wraps CAD modeling as AI agent skills, letting engineers generate 3D models from natural language descriptions.
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CS Self-Study Guide: The 74K-Star Comp…
·2 min
CS Self-Study Guide: The 74K-Star Computer Science Learning Roadmap
A 74K-star GitHub project by Peking University students curates MIT, Stanford, and CMU open courses into a complete CS self-study roadmap covering algorithms, OS, databases, and more.
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Handwritten C/CUDA Inference Engine: P…
·2 min
Handwritten C/CUDA Inference Engine: Pushing Qwen 35B to the Limits on RTX 5090
A deep dive into a handwritten C/CUDA inference engine for Qwen 35B on RTX 5090 (Blackwell), covering quantization, FlashAttention kernels, and memory optimization.
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·3 min
Meta Muse Spark 1.1 Deep Dive: The Platform Ambitions Behind Meta's First Closed-Source Model
Meta Muse Spark 1.1 deep dive: native multimodal architecture, platform tools, social data retrieval, e-commerce vision — Meta's first closed-source API model benchmarks against Anthropic Sonnet.
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CUDA Kernel Fusion: A Practical Guide …
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CUDA Kernel Fusion: A Practical Guide to Reducing Memory Bandwidth and Launch Overhead
Learn how CUDA Kernel Fusion merges multiple GPU kernels to reduce global memory traffic and launch overhead, with real-world examples from AI inference and deep learning.
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Paper Reproduction as an Entry Point i…
·4 min
Paper Reproduction as an Entry Point into Scientific Machine Learning: Path Selection and Pitfall Guide
How can applied math students efficiently enter Scientific Machine Learning (SciML)? This guide covers the value and pitfalls of paper reproduction, with a layered path from numerical PDEs to research.
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·3 min
AI/ML Internship Red Flags: How to Spot and Land Internships That Actually Matter
Is paying for an internship worth it? This deep dive into AI/ML "internship commodification" exposes the real problems with pay-to-intern schemes and offers actionable alternatives — open source, cold outreach, and technical fundamentals.
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·4 min
Hands-On with GPT-5.6: A Single Prompt Builds a Real-Time Voice Anime App
Hands-on with GPT-5.6 Sol: auto-generate real-time voice anime characters from one prompt, write physics engines from scratch, and build unfamiliar toolchains autonomously. In-depth review of coding, agentic tasks, benchmarks, and its hallucination weakness.
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·6 min
GPT-5.6 vs Grok 4.5 on the Same Day: A Packed Week of Flagship AI Model Launches
OpenAI's GPT-5.6 launches with Sawa, Terra, and Luna sub-models the same day as Musk's Grok 4.5, while Anthropic, Meta, and NVIDIA make their moves. A packed week of flagship AI launches.
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·5 min
Can a Mixture of Experts Beat a Single Large Model? A Deep Dive into the Hermes 2.0 Architecture
A hands-on analysis of the Hermes 2.0 hybrid multi-agent system: can multi-model collaboration beat a single top-tier LLM? We break down how the Mixture of Experts (MoE) architecture works, AgentOS features, and model-agnostic design.
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·7 min
Breaking Down the Core Skills of an AI Application Engineer: From Beginner to Industrial-Grade Deployment
Knowing how to call an API doesn't make you an AI engineer. This article breaks down the complete skill structure of an AI application engineer, covering Python fundamentals, LLM fine-tuning, Agent development, and enterprise projects.
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·2 min
Decoding the AI Full-Stack Approach: Google's Vertical Integration Strategy from Chips to Applications
Deep analysis of Google's AI full-stack strategy: from custom TPU chips and system software frameworks to Gemini models and applications, examining how vertical integration delivers performance, cost, and autonomy advantages.
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·5 min
Getting Started with LangGraph: Building AI Agent Workflows with Graph Structures
Master LangGraph core concepts: nodes, edges, and routing functions. Learn StateGraph, MemorySaver, and ToolNode through a weather-query Hello World example, and understand how LangGraph relates to LangChain and powers Agent workflows.
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·3 min
PUBG Ally Deep Dive: How NVIDIA ACE Creates AI Teammates That Truly Collaborate
KRAFTON partners with NVIDIA ACE to build PUBG Ally, a next-gen AI teammate with voice recognition, LLM reasoning, and real-time tactical decisions—pioneering the evolution from NPC to CPC.
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·7 min
GPT-5.6 and Grok 4.5 Launch Simultaneously, Meta Unveils Agent-Based Image Model
OpenAI GPT-5.6 expands its preview, xAI Grok 4.5 opens access at the same time, Meta releases the Agent-based Muse Image model and Muse Video model, while Apple and DeepSeek launch in-house AI inference chip programs. A quick look at the week's five biggest AI stories.
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Boko Haram's Abuse of Frontier AI: How…
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Boko Haram's Abuse of Frontier AI: How Terror Groups Weaponize Technology and the Governance Crisis It Reveals
Boko Haram is systematically exploiting AI tools for propaganda automation, multilingual recruitment, and operational coordination. An in-depth analysis of generative AI abuse by terror groups, the open-source governance dilemma, and the AI safety arms race.
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·6 min
GPT-5.6 Now Widely Available: The Era of Three-Tier Models and Multi-Agent Orchestration Arrives
OpenAI releases GPT-5.6 (SOUL/TERRA/LUNA), with Ultra mode running four agents in parallel; Meta launches Muse Spark 1.1 with million-token context; ChatGPT desktop unifies Chat, Work, and Codex.
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·2 min
VR Teleoperation Robotics: A Practical Guide to Swapping Left/Right Controller Data and Aligning Coordinate Systems
How to programmatically swap left/right controller mappings in MuJoCo when using Pico 4 Ultra and XRoboToolkit for VR robot teleoperation, including coordinate frame alignment and quaternion mirroring.
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·4 min
The Secret of AI Power Users: Understanding the Underlying Logic Matters More Than Prompt Tricks
The gap between AI power users and everyone else isn't about prompt tricks — it's about understanding LLMs, multimodal models, workflows, and agents. Build your complete AI mental model here.
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·3 min
From IT Support to AI Engineer: A Real NCA-GENL Certification Journey and Lessons Learned
A real NCA-GENL study journal from an IT-support-turned-AI-engineer: 50+ scenario questions, 7-week prep, and a brutal 40% on Trustworthy AI. Covers Transformer concepts, NVIDIA tools, and what actually works.
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