Practical articles, in-depth tutorials, and architectural insights on software engineering, AI, and systems.
Learn how to collect analog sensor data at ultra-high speeds without overloading the microcontroller processor, using direct memory access and hardware interrupts.
Learn how to design an autonomous thermal control system for homelab servers using PID algorithms and microcontrollers, reducing noise and protecting hardware.
Learn how to run artificial intelligence models directly on limited hardware using ONNX Runtime. Discover how to optimize weights and manage scarce RAM memory.
Learn how to reduce your electricity bill and server heat output using custom CPU governors and thermal management tools on bare-metal systems.
Learn how to architect a robust system for monitoring electrical consumption in edge servers using Modbus meters and the Prometheus suite for real-time observability.
Explore how edge servers balance extreme performance and strict temperature limits using real-time clock modulation and adaptive cooling.
Learn how to combine smart sampling and adaptive filtering algorithms in microcontrollers to eliminate electrical noise without sacrificing system dynamic response.
Learn how to build a robust monitoring strategy for temperature and power consumption in compact, high-density server environments. Discover how to combine physical sensors, software telemetry, and automation to prevent hardware overheating.
Learn how to apply Kalman filters in microcontrollers to clean noisy physical sensor data. Discover practical mathematics, design decisions, and functional C code for real-time embedded systems.
Explore engineering strategies to optimize battery durability and thermal control in autonomous edge processing nodes by combining robust hardware and efficient software.
Page 105 of 199 • 1984 articles
