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.
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.
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.