Anomaly Detection in Manufacturing: Algorithms, Architecture & ROI
Complete guide to manufacturing anomaly detection — statistical vs ML approaches, sensor data pipelines, model deployment at the edge, and calculating maintenance ROI.
AMQP vs MQTT: Protocol Architecture Comparison for IoT & Enterprise
AMQP vs MQTT head-to-head — frame structure, QoS guarantees, broker architecture, latency benchmarks, and a decision framework for choosing the right protocol.
EtherNet/IP Protocol: Complete Industrial Communication Guide
Deep technical guide to EtherNet/IP — CIP object model, implicit vs explicit messaging, producer-consumer architecture, and real-world PLC integration patterns.
Why Lithium-Ion Batteries Catch Fire: Thermal Runaway
The physics of lithium-ion thermal runaway explained — what triggers it, the chain reaction inside the cell, and how engineers actually prevent battery fires.
Cryo-EM Meets AI: Structure Prediction in Drug Discovery
How cryo-EM and AI structure prediction work together in 2026 drug discovery — the pipeline, what AlphaFold-class models add, and the honest limitations.
Lights-Out Factories in 2026: What the Data Shows
A 2026 analysis of lights-out, autonomous factories — what edge AI and digital twins actually deliver, where the hype breaks, and the realistic adoption curve.
Order Book Imbalance Features: A Microstructure Design
A systems view of order book imbalance features in 2026 — computing OFI, queue imbalance, and microprice from L2 data, plus the engineering pitfalls.
Argo Rollouts: Progressive Delivery for Edge Fleets
A 2026 tutorial on Argo Rollouts for edge fleets — canary and blue-green strategies, analysis templates, metric gates, and rollback for constrained sites.
Iceberg vs Delta vs Hudi for IIoT Lakehouse: An ADR
An architecture decision record comparing Apache Iceberg, Delta Lake, and Hudi for an IIoT lakehouse in 2026 — schema evolution, upserts, and time-series fit.
On-Device SLM Inference: A 2026 Edge GPU Benchmark
A 2026 benchmark methodology for small language models on edge GPUs — latency, tokens/sec, memory, and cost for Phi, Gemma, and Qwen on Jetson-class hardware.