#automotive tuning
21 related articles
·2 min
Building Custom C/C++ Inference Engines: A Deep Dive into the Tradeoffs Between Performance, Control, and Engineering Cost
Deep analysis of why teams build custom C/C++ inference engines instead of using PyTorch or TensorRT, exploring performance, minimal dependencies, and long-term maintenance tradeoffs.
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·4 min
SQLite in Production: A Deep Dive into WAL Mode, Concurrency Control, and VFS Optimization
A deep dive into three core SQLite production optimizations: WAL mode for read/write concurrency, single-writer concurrency model best practices, and VFS layer tuning with mmap and custom locking.
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·3 min
Volvo Fleet Management Platform Vulnerability Analysis: The Security Risk of One-Click Takeover of All Vehicles
Security researchers disclosed critical access control flaws in Volvo and Eicher's fleet management platform, enabling one-click takeover of all user accounts and vehicles.
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·7 min
DIY Companion Robot: Building Your AI Desktop Buddy with Jetson Orin
A maker builds a DIY companion robot with NVIDIA Jetson Orin and 4S LiPo battery. Explore the full development journey from first power-up to AI interaction, including edge computing, power design, and companion robot trends.
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·6 min
AI Application Engineer Interview Guide: Core Topics in Model Quantization and Inference Deployment
A systematic review of must-know topics for AI Application Engineer interviews: PTQ/QAT quantization, operator fusion, inference pipelines, latency/throughput analysis, and edge deployment of detection/segmentation/BEV models.
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·6 min
AI Application Engineer Interview Guide: Core Topics on Model Quantization and Inference Deployment
A systematic guide to must-know AI application engineer interview topics: PTQ/QAT quantization, operator fusion, inference pipelines, latency/throughput analysis, and edge deployment of detection/segmentation/BEV models.
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·3 min
The OpenHaldex Controller "Open Source" Controversy: A Debate Over Name vs. Reality, and a Consumer's Guide
Forbes Automotive's OpenHaldex-C6 and S3 controllers sparked heated Reddit debate over the "open source" label. An in-depth look at open-source licensing in car tuning, community trust, and how to spot genuine open-source products.
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·4 min
DIY Robot Lamp Full-Body Motion Test: A Firsthand Account from Components to Coordinated Movement
A maker builds a DIY robot lamp with Robstride actuators, completing its first full-body joint motion test. This article breaks down hardware selection, trajectory planning, PID tuning, and more.
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·5 min
GPT-5.6 Comes to Codex, Voice Models Iterate: A Flurry of AI Product Updates
OpenAI announces GPT-5.6 Sol Ultra coming to Codex and its most powerful real-time voice model yet, GPT Realtime 2.1; Tencent's Toast lands on iOS; Anthropic finds brain-like structures in Claude.
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·5 min
McLaren W1 In-Depth Test Drive: A Street-Legal 1200-HP F1 Car
The McLaren W1, the legitimate successor to the F1 and P1, breaks 1,200 hp combined with just 1,399 kg dry weight. An in-depth test drive covering street cruising, the Mugello Circuit, aerodynamics, interior craftsmanship, and extreme performance.
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·6 min
DINOv2 vs SigLIP: Why the Huge Gap in k-NN Classification? A Guide to Avoiding Vision Encoder Selection Pitfalls
Experiments show DINOv2 Giant scores just 41% on k-NN classification, while SigLIP2 reaches 92%. This article dives into the embedding-space differences between contrastive and self-supervised learning to guide vision encoder selection.
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·4 min
AI Weekly: GPT-5.6 Launches in Three Tiers, Open-Source Inference Frameworks and Robot Safety Break Through Across the Board
This week in AI: OpenAI launches GPT-5.6 in three tiers (Sol/Terra/Luna) hitting 91.9% on coding benchmarks; DeepSeek and PKU open-source DSpark for 85% faster inference; Prime Intellect trains trillion-param models on just 28 H200s; Anthropic Claude enters Slack.
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·5 min
Embedded Linux vs. AI Agent Development: A Comprehensive Comparison of Salary, Job Availability, and Career Stability
Embedded Linux or AI Agent development? This in-depth comparison covers salary, job availability, and career stability to help developers pick the right path.
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·6 min
AutoScout24's AI-Native Journey: How Codex and Agents Are Reshaping Enterprise Efficiency
As one of the world's largest car marketplaces, AutoScout24 is going AI-native with OpenAI Codex and agents. It built a CapEx agent in 48 hours, saving ~$1M/year, and explores hands-off coding.
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Presidential Pardons in 9 Clean Air Ac…
·3 min
Presidential Pardons in 9 Clean Air Act Cases: The Legal Boundaries of Vehicle Modification and the Right to Repair Debate
Presidential pardons for 9 Clean Air Act violations spark debate over vehicle modification rights, ECU tuning legality, defeat devices, and the Right to Repair movement.
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·4 min
Deep Learning Lane Detection: From Segmentation to Classification for 300+ FPS Real-Time Inference
Deep learning lane detection algorithm that simplifies dense segmentation into efficient grid classification, achieving 300+ FPS real-time inference with row selection, Focal Loss, and expectation-based localization.
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Tutorials·4 min
AI Agents for Auto-Generating Excel Test Cases: From Setup to Private Deployment — A Complete Guide
Learn how to use AI agents to auto-generate Excel test cases. Covers Coze platform setup, Dify private deployment with DeepSeek + Ollama, workflow design tips, and prompt engineering for testers.
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Tutorials·2 min
EasyClick AI Programming in Practice: Simulating Human-Like Swipe Trajectories with Bézier Curves
Learn how to use EasyClick with AI to generate Bézier curve parameters for human-like swipe simulation in automation scripts, covering anti-detection strategies and practical workflows.
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Tutorials·3 min
110 Hands-On Embedded Linux Projects: From Beginner to High-Paying Driver Development
A complete hands-on checklist of 110 embedded Linux projects covering audio/video, Rockchip platforms, smart home, and driver development — with clear learning paths from beginner to high-paying roles.
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Product Reviews·2 min
Sutra: How AI Decision Intelligence Compresses Hardware Engineering Changes from Hours to Minutes
Sutra uses Decision Intelligence to transform hardware engineering change processes, automating BOM impact analysis, part verification, and documentation to cut ECR processing from hours to minutes.
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