DIG Architecture – Technical White Paper (Demo Content)

1. Target Architecture
A modular AI architecture that deterministically preprocesses relevant information, routes it selectively, and activates only specialized local modules.

2. Core Principles
    • Selective activation to reduce computational workload
    • Targeted hypergraph routing instead of broad candidate search
    • A control layer for policies, safety, traceability, and auditability
    • Local context models and coherence rules to ensure globally consistent results

3. Expected Benefits
    • Up to 80% lower energy consumption
    • 5× faster response times
    • More efficient processing
    • Clearer information provenance and improved traceability