How Kronos applies AI, machine learning, and quantum computing to fusion — an 8-layer architecture (L0 Foundation → L7 Ecosystem) wired into both machines: the breeder (Hyperion) and the burner. Not a computing textbook; the real control stack, layer by layer. 750 pages.
The 8-layer stack, the color grammar and line semantics, and how one architecture runs both machines.
Cloud HPC, bare metal, and supercomputing — the offline multi-physics and batch-training substrate.
Edge FPGA microsecond-determinism, hard real-time actuation, and the autonomous hardware failsafe.
60+ port telemetry, signal validation, feature engineering, the archive, feature store, and vector DB.
GNNs, PINNs, anomaly ensembles, MPC, and the KRONOS-CTRL digital twin with its predictive shadow.
Event streaming, the workflow engine, the rules engine & safety bounds, and human-in-the-loop routing.
Agentic Plasma, Engineering, and Operations copilots.
The control-room 3D twin overlays, plant-floor SCADA, and mobile engineering.
Grid, supply-chain, maintenance, and regulatory integrations via the unified API layer.
How the stack touches each subsystem — magnets & ice-piston, fuel cycle, vessel/SHM, divertor, DEC train, diagnostics.
The sub-10µs control loop, synchronized gates, autonomous failsafe, and human oversight.
IT/OT separation, airgaps, unidirectional data diodes, and full decision-audit lineage.
Offline retraining, twin refinement, drift detection, and reinforcement learning from human feedback.
The timing model, the operating narrative, failure-mode/failover, and predictive maintenance.
The math behind each layer — PINNs, Grad-Shafranov, MPC, GNNs, state estimation — anchored to Kronos's use.
Where quantum computing fits — materials & chemistry, and the helium-3 flywheel.
The roadmap — formal assurance, physics-fidelity twins, stronger algorithms, and fleet-scale trust. We publish the gaps, not just the wins: each is real, sequenced to a milestone, and not yet built.