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AI Architecture › Advanced Capabilities
Advanced Capabilities

Multi-Fidelity Modeling & Data Fusion

Combine cheap and expensive simulations for calibrated, affordable accuracy.

STRATEGY / SLOW ▲ ▼ MICROSECOND REAL-TIMEL7Ecosystem & Strategytelemetry ▲ control ▼open ▸L6Experience & Visualizationtelemetry ▲ control ▼open ▸L5Applications & Copilotstelemetry ▲ control ▼open ▸L4Orchestrationtelemetry ▲ control ▼open ▸L3Twin Modeling & AItelemetry ▲ control ▼open ▸L2Data Fabrictelemetry ▲ control ▼open ▸L1Control Planetelemetry ▲ control ▼open ▸L0Foundationtelemetry ▲ control ▼open ▸PHYSICAL S.M.A.R.T. GENERATOR PLANTBREEDER · HYPERION1R0 1.2 m · A 2.5 · 16.84 T · δ −0.30BURNER · TANDEM MIRROR2317 T throat · 26.49 T plug · fₙ 5.44% · DEC1 center stack + plasma · 2 high-field plug · 3 expander → direct converterCOLOR GRAMMAR strategy AI-workflow infra/data models reactor/DECLINE SEMANTICStelemetry (µs)controlKRONOS FUSION ENERGYAI-NATIVE S.M.A.R.T. GENERATORMASTER BLUEPRINTSHEET 01REV. 2026-08L0-L7 · 2 MACHINES
The AI-Native S.M.A.R.T. Generator Master Blueprint — eight layers (L0→L7), one control stack, wired to both machines. Telemetry rises in microseconds; control descends the same path.

Category: C · mathematics  ·  Plugs into: L0 / L3  ·  Horizon: NOAK  ·  Status: on the roadmap — not yet built

What it is

High-fidelity simulations are accurate but slow; low-fidelity are fast but biased. Multi-fidelity methods fuse them — and real data — into one calibrated predictor with quantified uncertainty.

The method

Multi-fidelity Gaussian processes and Bayesian model calibration (Kennedy–O'Hagan) with an explicit discrepancy term for model-form error.

Why it matters

It delivers high-fidelity accuracy at low-fidelity cost — and, crucially, quantifies how wrong the twin itself is. Plugs into L0/L3.

Content reviewed August 2026 · design-and-simulation stage