Practical articles, in-depth tutorials, and architectural insights on software engineering, AI, and systems.
Learn how to run artificial intelligence directly on microcontrollers and mobile devices using dynamic quantization, drastically reducing memory usage without sacrificing accuracy.
Learn how to architect high-density storage systems using ZFS and block-level deduplication to optimize space and ensure absolute data integrity on local servers.
Learn how to build robust and fast storage in homelab servers using NVMe SSDs, the ZFS file system, and RAID Z2 redundancy to protect your data against hardware failures.
Learn how to tune data and instruction cache behavior in RISC-V microcontrollers to cut power consumption without sacrificing deterministic performance in edge applications.
Learn how to connect low-power electronic sensors to edge gateways using long-range LoRaWAN radio protocols to build efficient autonomous networks.
Learn how to design efficient printed circuit boards to minimize electromagnetic interference in embedded systems. Master practical routing techniques, ground planes, and decoupling strategies.
Learn how to implement a comprehensive telemetry system to track temperature, wear levels, and health status of NVMe drives in homelab servers, preventing catastrophic failures.
Learn how to design energy-efficient edge computing nodes using microcontrollers, balancing thermal dissipation, sleep cycles, and power conversion in remote systems.
Learn how to monitor and reduce energy consumption and thermal stress in programmable logic controllers operating in severe industrial environments.
Learn how to design high-performance multilayer printed circuit boards by mastering signal degradation control and unwanted electromagnetic interference.
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