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.
Pre-Trade Risk Engine Architecture for Low Latency (2026)
How to design a low-latency pre-trade risk engine in 2026: inline checks, kill switches, state management, and the latency budget, with no trading advice.
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.
Predicting Protein Conformational States with AI (2026)
How AI is moving beyond static AlphaFold structures to predict protein conformational states and ensembles in 2026, the methods, the limits, and why it matters.
How Tokamak Fusion Reactors Actually Work (2026)
How tokamak fusion reactors actually work, explained from first principles: plasma confinement, magnetic fields, the triple product, and why net energy is so hard.
Market Data Feed Handler: ITCH & Order Book (2026)
A 2026 systems deep-dive on building a low-latency market data feed handler: ITCH parsing, order book reconstruction, normalization, and failure modes.
Siemens + NVIDIA’s Industrial AI OS: A 2026 Analysis
What Siemens and NVIDIA's industrial AI operating system means for manufacturing in 2026: the strategy, the technology stack, and the open questions.
FP8 vs INT8 vs INT4 LLM Quantization Benchmark (2026)
A 2026 LLM quantization benchmark comparing FP8, INT8, and INT4: accuracy retention, throughput, memory, and when each precision is the right call.
Edge Observability ADR: OpenTelemetry vs Prometheus+Loki
An ADR-style 2026 decision on edge-fleet observability: OpenTelemetry vs Prometheus+Loki, collector topology, cost at the edge, and the consequences of each.