How Neuromorphic Chips Actually Work (2026)
Neuromorphic chips compute like a brain: spikes, not clocks. How spiking neural networks, memristors, and event-driven silicon work, and why they sip power.
How Silicon Photonics Chips Move Data With Light
How silicon photonics chips move data with light: waveguides, modulators, and why optics is reshaping AI data centers, explained from first principles.
Green Hydrogen Digital Twin Reference Architecture (2026)
A vendor-neutral 2026 reference architecture for green-hydrogen digital twins: electrolyzer telemetry, AI simulation, and the GHaaS optimization loop.
Zenoh vs MQTT vs DDS for Robotics Middleware (2026)
An engineer's 2026 comparison of Zenoh, MQTT, and DDS for robotics middleware: latency, discovery, QoS, edge fit, and a decision matrix.
Does a Digital Twin Need Real-Time Data? A Fact-Check
Fact-checking the biggest digital twin myth: does a twin require a live connection? We separate marketing claims from the actual architecture.
Agentic Digital Twins: AI-Driven Twins in 2026
Why digital twins are becoming agentic in 2026: how LLM agents, live data, and closed-loop control turn replicas into self-optimizing systems.
Long-Running Governed AI Agents: Architecture (2026)
Architecture patterns for long-running, governed AI agents in 2026: durable execution, checkpointing, guardrails, and human-in-the-loop control.
Small vs Large LLMs for Agentic Tasks: A 2026 Benchmark
A reproducible 2026 benchmark methodology comparing small and large LLMs on agentic tasks: cost, latency, tool-call accuracy, and when small wins.
Kafka vs Redpanda vs WarpStream: Edge Telemetry ADR
An ADR-style 2026 comparison of Kafka, Redpanda, and WarpStream for edge telemetry: cost, latency, ops burden, and a clear decision framework.
Cilium Sidecarless Service Mesh: An eBPF Deep-Dive
A 2026 deep-dive into Cilium's sidecarless service mesh: how eBPF replaces sidecars, mTLS, L7 policy, and a working setup with trade-offs.