AI data center power demand analyzed for 2026: grid constraints, nuclear and gas deals, efficiency limits, and what the energy crunch means for AI compute.
How LiDAR actually works, from first principles: time-of-flight vs FMCW, the laser and detector chain, point clouds, solid-state designs, and LiDAR vs radar.
Spatial transcriptomics explained in 2026: how Visium, Xenium, and MERFISH map gene expression in tissue, the data pipeline, trade-offs, and applications.
An analysis of PTC NEXT 2026: Orbit, Jetstream, 12 AI agents, and whether 'Intelligent PLM' is a genuine architecture shift or a rebrand of the digital thread.
A 2026 system-design walkthrough of a VWAP execution algorithm: volume curve forecasting, scheduling, the slicing engine, and transaction cost analysis.
A 2026 reference architecture for the Catena-X automotive data space: Eclipse Dataspace Connector, data sovereignty, the digital thread, and use cases.
MTConnect vs OPC UA for machine tool and CNC data in 2026: data models, semantics, agents, write-back, and a decision matrix for shop-floor connectivity.
Samsung's pledge to run all-AI factories by 2030, analyzed: digital twins, AI agents for quality and logistics, and what escaping pilot purgatory really takes.
A hands-on 2026 tutorial for robot fleet orchestration with Open-RMF: traffic management, task allocation, the fleet adapter, and a working multi-AMR demo.
The LLM semantic router pattern in 2026: route requests by intent and cost to the right model, with vLLM Semantic Router, embeddings, and a reference design.