Microcontrollers vs cloud: why AI is moving to the edge
Why newer MCUs, rising cloud costs and real-time requirements are pushing more IoT intelligence onto the device.
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OpenWrt as a professional embedded Linux platform
Why OpenWrt can be more than router firmware: networking, security, automation and reproducible Linux builds for gateways and edge devices.
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Hardware security for embedded devices: TPM, TrustZone and secure enclaves
How hardware roots of trust help embedded products protect keys, boot chains, firmware integrity and sensitive operations.
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LVGL 9 for embedded HMIs: what product teams should know
A practical view of LVGL 9 for embedded interfaces: rendering, memory, widgets, portability and when it beats heavier UI stacks.
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Edge computing on MCUs: real value for industrial IoT
When microcontrollers should process data locally: latency, bandwidth, privacy, reliability, power and industrial maintenance use cases.
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TinyML on microcontrollers: from prototype to production
What changes when a TinyML demo becomes a product: data quality, quantization, memory, latency, OTA, monitoring and lifecycle.
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NPUs in embedded SoCs: edge AI without sending everything to the cloud
How neural processing units inside embedded SoCs change edge AI design, latency, privacy, power consumption and product architecture.
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Qt and QML for embedded HMIs: benefits, limits and trade-offs
When Qt/QML makes sense for embedded interfaces, what it costs in resources and how to design maintainable HMI architectures.
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