How Factory Data Actually Gets from Machines and PLCs to the Cloud
Industry 4.0 data collection sounds simple until you look closely at the factory floor. In theory, the flow is clean: machine → gateway → cloud → dash…
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On-Device AI Just Got Real
Apple's newest on-device model carries about 20 billion parameters, and on any given request it fires maybe one to four billion of them. That gap — 20…
The Disconnected Edge: How We Solved In-Flight Data Sync at 35,000 Feet
When most engineers think about rolling out a modern streaming or web application, they visualize a standard cloud-native environment: a global CDN, e…
Tech Pragmatism: Why More Decentralized Data Actually Equals Centralized Utility
Navigating the tech space today often feels like walking a tightrope between two extremes: massive corporate monopolies holding all the keys, and idea…
TFLite Edge Model Quantizer Snippet
I've put together a Python snippet for post-training integer quantization of TensorFlow Lite models. This process is key for making machine learning m…
Edge Computing for IIoT: When to Process at the Source
My first attempt at a remote vibration monitoring system ended with a network switch that couldn't handle the throughput and a cloud bill that made me…
When AI Diagnoses the Plant Before Anyone Notices: How Endress+Hauser Eliminated 80% of Measurement Fault Support Calls
TL;DR: Endress+Hauser deployed an AI diagnostic engine across 300+ industrial plants; the system resolves 80% of measurement device faults without hum…
OpenClaw and the Architecture Nobody Noticed
This week, Sam Altman announced that Peter Steinberger, creator of OpenClaw, was joining OpenAI. The open-source project would move to an independent …