Version Control for PLC Projects: Git without the Pain

Version Control for PLC Projects: Git without the Pain Version control has long been standard in IT — but only recently practical in OT. Th...

Read More

Open PLCs and Linux-Based Controllers: Pros and Cons

Open PLCs and Linux-Based Controllers: Pros and Cons Industrial control is evolving beyond proprietary rack PLCs. A new wave of open, Linux-based...

Read More

IEC 61131-3 Patterns for Maintainable Code

IEC 61131-3 Patterns for Maintainable Code Maintainable PLC code isn’t about clever syntax — it’s about structure. The IEC 6113...

Read More

From Ladder to Structured Text: When (and How) to Switch

From Ladder to Structured Text: When (and How) to Switch Ladder Logic has served automation engineers for decades, but modern systems increasingl...

Read More

Lifecycle and Spares: Designing for 5-Year Support

Lifecycle and Spares: Designing for 5-Year Support Unlike consumer devices, industrial edge hardware must survive long life cycles — often...

Read More

GPU Sharing at the Edge: Containers and Scheduling

GPU Sharing at the Edge: Containers and Scheduling Edge AI platforms are getting more powerful — but GPUs remain expensive. To maximize uti...

Read More

Real-Time Considerations: Determinism Next to AI

Real-Time Considerations: Determinism Next to AI Edge AI promises intelligence near the machine, but not all workloads can tolerate latency. When...

Read More

Thermals, Enclosures, and Dust: Designing Rugged Edge Nodes

Thermals, Enclosures, and Dust: Designing Rugged Edge Nodes Deploying AI at the edge means running compute in the harshest conditions: vibration,...

Read More

Jetson Orin vs Intel iGPU vs AMD: A 2025 Buyer’s Guide

Jetson Orin vs Intel iGPU vs AMD: A 2025 Buyer’s Guide Choosing edge hardware for industrial AI is no longer just about TOPS (tera-operatio...

Read More

Licensing and IP for Synthetic Assets: Avoid Surprises

Licensing and IP for Synthetic Assets: Avoid Surprises Unlike real photos, synthetic data carries unique intellectual property and licensing impl...

Read More

Validating Synthetic Pipelines: Metrics That Matter

Validating Synthetic Pipelines: Metrics That Matter Building synthetic datasets is one thing — proving they work in real-world production i...

Read More

Domain Randomization for Robustness: A How-To

Domain Randomization for Robustness: A How-To One of the biggest problems in vision AI is overfitting — models that work perfectly in the l...

Read More

When to Stop Collecting Real Data and Simulate

When to Stop Collecting Real Data and Simulate At some point, gathering more real data stops improving your model — and starts wasting time...

Read More

Generating Synthetic Defects That Transfer to Reality

Generating Synthetic Defects That Transfer to Reality Training vision AI systems often fails due to limited defect samples. Synthetic data &mdash...

Read More

Measuring Copilot ROI: MTTR, First-Time Fix, and Training

Measuring Copilot ROI: MTTR, First-Time Fix, and Training AI copilots promise faster troubleshooting, fewer errors, and better onboarding —...

Read More

Safety Guardrails: When Not to Trust the Copilot

Safety Guardrails: When Not to Trust the Copilot AI copilots are powerful tools — but they must know their limits. In industrial settings,...

Read More

Human-In-the-Loop QA for Technical Answers

Human-In-the-Loop QA for Technical Answers Even the best copilots can be wrong. That’s why human-in-the-loop (HITL) quality assurance is es...

Read More

From PDFs to Answers: Structuring SOPs for RAG

From PDFs to Answers: Structuring SOPs for RAG Most factories still store their Standard Operating Procedures (SOPs) in static PDFs — great...

Read More

Chunking and Metadata That Make Search Useful

Chunking and Metadata That Make Search Useful In Retrieval-Augmented Generation (RAG) systems, chunking — dividing documents into searchabl...

Read More

Offline Copilots at the Edge: No Internet, No Problem

Offline Copilots at the Edge: No Internet, No Problem Many factories operate in restricted or isolated networks — far from the cloud. For t...

Read More