APORIA is a next‑generation learning engine built around three principles:

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1. Triangular Compute Fabric

Three interlocking compute planes:

  • Sensor‑proximal

  • Task‑centric

  • Global causal

1. Triangular Compute Fabric

Local → Regional → Global memory tiles that store:

  • Motion traces

  • Task fusion

  • Operator intent & style

3. ARLE (Action‑Response Learning Engine)

Every action is evaluated through: WHAT · WHEN · WHERE · WHY · HOW