HomeHeroesDe NovoDiscoveryGene ScanCDx Pathway♻️ Repurposing🚦 GatesModelsQuantum🧪 Wet LabSchedules🎛️ Control🧬 CIFOG📈 Milestones🧬 BioBrain🧬 FRSI🧠 NPEAD🧠 NPEADArchitecture🔬 RODE🧠 Cortex-RWorkspace🧠 V2🧠 V3📦 Knowledge💰 Revenue🧪 Tests📊 Costs📚 Datasets

🧬 NPEAD Self-Evolving Scorer

Neural Predictive Evolutionary Adaptive Dimensions — learns from every pipeline outcome to improve compound scoring.

🚀 NPEAD-DLE v6.0 Released — Directed Learning Engine: decides what to test next, not just what score to assign. View DLE Dashboard →

Latest Run — Brain Quality Scores

How reliably each brain's signal predicts good targets. Teacher-evaluated + outcome-validated.

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Current Weights (v6)

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#DimensionWeightProfileMagnitude

Attribution (Shapley Analysis)

Which gene families are strengthening or weakening predictions:

FamilyAccuracyCorrectWrongSignalGenes

Dimension Proposals

Discovered from A+ hero clustering — awaiting approval:

NPEAD-MAML Meta-Learning

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Governance Rules

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🧠 Learned Knowledge (Cortex)

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❌ Failure Taxonomy

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🎯 Experiment Queue

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