AI Research

The GenesisNode architecture itself: sparse selection-based computation with self-organizing nodes. Language capability levels, vision, robotics, hardware control, and the assurance tooling that makes every decision inspectable.

Language

Training Dashboard

The main GenesisNode training dashboard. Train language capability levels L1-L10, watch the node graph grow and specialize, and run live inference against the trained network.

10 capability levels Live topology Inference testing
Open dashboard
Vision

MNIST Benchmark

Digit classification with scaler nodes. Compare CPU graph routing against the GPU engine, with configurable patch sizes, epochs, and sample counts.

GPU engine ~129x speedup Config registry
Open benchmark
Robotics

Robotics Simulation

3D robot control in a Three.js world. GenesisNode learns motor sequences and navigation behaviors through the same node graph used for language.

Three.js 3D world Learned control
Open simulation
IoT

IoT Simulation

Sensor network simulation. GenesisNode observes device telemetry, learns normal behavior, and flags anomalous readings.

Device telemetry Anomaly detection
Open simulation
Hardware

Arduino Simulation

Simulated Arduino hardware control. GenesisNode drives pin-level behavior against a virtual microcontroller.

Virtual MCU Pin-level control
Open simulation
Assurance

Assurance Dashboard

The assurance panel: MNIST metrics, audit trail, write protection, and building-block inspection over a live GenesisNode model.

Audit trail Write protection
Open dashboard