How MCP works
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In plain terms: what Model Context Protocol is, and why AI needs a shared way to reach external systems.
ReadBlog - Notes from the field
From projects, conferences, and workshops — IoT, AI, mobile, and problems that show up in real work.
MQTT QoS and backpressure — when QoS 2 hurts
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Why higher MQTT QoS is not always more reliable in industrial telemetry, and how to model flow control.
ReadFrom tokens to answers
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Attention, Q/K/V, and Transformer layers — how an LLM works on top of Google’s paper.
ReadImage recognition — from pixels to a decision
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How image classification and detection work: features, CNNs, softmax, and decision thresholds in production.
ReadHow fingerprint recognition algorithms work
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From scan to minutiae: ridge extraction, descriptors, matching scores, and biometric decision thresholds.
ReadHow iris recognition works
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Pupil/iris segmentation, polar normalization, Daugman iris codes, and Hamming-distance matching.
ReadAPNR — automatic plate recognition from video
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How an APNR/ANPR pipeline works: plate localization, matched filters, template OCR, and temporal fusion.
ReadSignature verification — telling genuine from forgery
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Offline vs online signature verification: temporal features, DTW, embeddings, and decision thresholds.
ReadHow asymmetric encryption works
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Public and private keys, RSA in short, digital signatures, key exchange, and common implementation pitfalls.
ReadObjective-C vs Swift — the real differences
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Syntax, type safety, interoperability, memory, performance, and when Objective-C still shows up in iOS projects.
ReadHow ARC works — Automatic Reference Counting
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Retain, release, weak/unowned, reference cycles, and what the compiler inserts for you in Objective-C and Swift.
ReadNative iOS/Android vs React Native — when to choose which
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Pros and cons of native development vs React Native: UX, performance, cost, team shape, and practical decision scenarios.
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