Zero-trust architecture for industrial OT and IoT — micro-segmentation patterns, identity for machines, NIST SP 800-207 applied to plants, and what the Purdue model gets wrong.
The eight core components of a production digital twin — physical asset link, data layer, model layer, twin core, services, UI, governance, and security.
Emergent abilities in LLMs — what truly emerges with scale, what is a benchmark mirage, and what the 2026 evidence shows about emergence vs measurement.
Kling AI video model from Kuaishou — architecture, capabilities vs Sora and Veo 3, pricing, real production use cases, and where Kling still falls short.
Digital twin oil and gas reference architecture for offshore predictive maintenance — sensor-to-twin pipeline, physics + ML models, and a real ROI model.
DMZ and port forwarding done safely — network segmentation, NAT and firewall rules, port forwarding vs VPN vs reverse proxy, and a hardened reference setup.
NVIDIA L4 on VMware vSphere for AI inference, updated for 2026 — vGPU vs passthrough, sizing, L4 vs L40S, and a reference deployment with the cost math.
Vehicle-to-infrastructure (V2I) architecture and implementation — C-V2X vs DSRC, RSU design, the message set, latency budgets, and a deployment blueprint.
The IoT protocol stack explained as a modular architecture — device, transport, messaging, and semantic layers, with how to choose MQTT, CoAP, or OPC UA.