#DSP engineering
71 related articles
·2 min
Is Whiteboard Thinking Still Useful in AI and DSP Work? An Engineer's Guide to Deep Thinking
Are whiteboards still valuable in the age of AI and deep learning? Explore how whiteboard thinking enhances DSP, ML, and engineering problem-solving workflows.
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·3 min
Robotics & RL Control Code Verification: Decision-Making Methods from Simulation to Deployment
How do robotics and RL engineers verify control code updates? A deep dive into statistical aggregation, layered verification, Sim-to-Real gap strategies, and deployment decision-making.
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·2 min
On-Device Piano Continuation: A 125M Small Model Enables Local Real-Time AI Music Autocomplete
Explore how a 125M-parameter on-device AI piano continuation model achieves low-latency, offline music autocomplete locally. A deep dive into small models for vertical music generation and Edge AI.
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·3 min
1.2 Million People's Data Breached: Why Third-Party Vendors Have Become Security Black Holes
Heights Finance's third-party vendor breach exposed 1.2M people's sensitive data. Analyze supply chain attack patterns, AI Agent-era risks, and how to minimize exposure through tokenization and data minimization.
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·4 min
Directing AI Game Development from a Phone: A Programmer Couple Builds a Complete RPG with AI Coding
A programmer couple built a complete RPG using only a phone-based AI workbench, revealing how foundational knowledge amplifies AI-assisted development.
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·3 min
Hadamard Transform: A Deep Dive into the Lightweight Deep Learning Technique That Replaces Multiplication with Addition and Subtraction
Deep dive into how the Hadamard Transform replaces matrix multiplication with only addition and subtraction for lightweight deep learning, covering FWHT principles, edge inference acceleration, and ultra-low-bit LLM quantization.
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·2 min
Appllama: A Design Research Platform Dissecting 25,000+ Screens from Top iOS Apps
Appllama catalogs 25,000+ screenshots from 600+ top App Store apps, offering full onboarding, paywall, and home flow breakdowns with revenue and download data for design research.
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·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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·2 min
Is Being a Computer Vision Engineer Worth It? A Deep Dive into Salary and Career Paths
In-depth analysis comparing CV engineer vs. standard SDE salaries, career growth, and satisfaction. Explore the advantages and market limitations of specializing in computer vision.
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·3 min
Vendor C++ Toolchains Silently Swallowing Compiler Warnings: Risks and Prevention Strategies
Analysis of how chip vendor C++ toolchains silently suppress compiler warnings, the risks involved, and prevention strategies including cross-validation and static analysis.
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·3 min
Vendor C++ Toolchains Silently Swallowing Compiler Warnings: Risks and Mitigation Strategies
Analysis of how chip vendor C++ toolchains silently suppress compiler warnings, the risks involved, and mitigation strategies using cross-validation and static analysis tools.
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·2 min
Chrome Built-in AI Explained: How Locally Running Models Protect Your Privacy
Explore Chrome Built-in AI technology and how running AI models locally in the browser enables zero data upload, instant responses, and stronger privacy protection.
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·2 min
Chrome Built-in AI Explained: How Locally Running Models Protect Your Privacy
Deep dive into Chrome Built-in AI technology, exploring how running AI models locally in the browser achieves zero data uploads, instant responses, and stronger privacy protection.
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·4 min
FPGA Softmax Approximation in Practice: A Detailed Guide to Taylor Expansion and Padé Approximation Methods
A detailed guide on efficiently implementing Softmax on FPGAs, comparing Taylor series and Padé approximation methods for accuracy and resource trade-offs, with Python simulation and range reduction techniques.
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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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·2 min
DSpark: DeepSeek Partners with Peking University to Open-Source Inference Acceleration, Boosting Speed by Up to 85%
DeepSeek partners with Peking University to open-source DSpark, an inference acceleration tech boosting single-user speed by 57%-85% under high concurrency. Learn its three core designs and the DSpec framework.
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·2 min
DSpark: DeepSeek and Peking University Open-Source Inference Acceleration Tech with Up to 85% Speed Boost
DeepSeek and Peking University open-source DSpark, an inference acceleration tech boosting single-user generation speed by 57%-85% under high concurrency. Learn its 3 core designs and the DSpec framework.
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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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·6 min
The AI Industrial Age Arrives: Compute Wars, Chip Reconstruction, and the GPT-5.6 Cheating Scandal Explained
Five key AI industry trends: Doubao surpasses 180 trillion daily calls, OpenAI's in-house AI chip, NVIDIA's $3-4 trillion compute forecast, China catching up, and the GPT-5.6 cheating scandal.
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