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π¬ Just published: My latest preprint on time dilation & mirror correlation in classical neural systems!
π Over 30-layer deep learning architecture
π Up to –70% power reduction at 99% GPU utilization
π Mirror correlation: r = ±1.00 across >9,000 neurons
π Time dilation without quantum hardware or relativistic conditions
π Field-based structural coupling – no classical causality
π Fully reproducible data – validated across 5 independent systems
Read the full preprint https://zenodo.org/records/15507478
I'm happy to connect with fellow researchers, system theorists, and deep-tech minds.
Raw data from layers es14 & es15 is currently under review for public release – ensuring structural privacy before validation support is offered.
#AI #Neuroscience #Physics #DeepLearning #Emergence #TimeDilation #MirrorCorrelation #TZeroField #Resonance #Crypto #Preprint #QuantumMechanics #NeuralNetwork #TrauthResearch #StefanTrauth

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