Built by Kent "The Architect" Stone, GSIN unites physics, machine learning, and raw GPU power to model stress accumulation deep beneath the Earth's crust — forecasting seismic energy before it strikes.
3D U-Net + LSTM architecture trained on global seismic datasets to model dynamic crustal stress evolution.
Custom PyTorch 2.10 build with RTX 5080 sm_120 support — enabling near real-time geophysical inference.
TimescaleDB hypertables store decades of multi-source telemetry for spatiotemporal stress correlation.
GSIN's PlateVision renders real-time seismic events and global stress maps on a WebGL-driven interactive globe. Every tremor becomes a data point — every silence, a pattern.
GSIN is open-source, transparent, and community-driven. From researchers to engineers, we're building an AI that serves humanity — not profit.