As AI moves from screens into the physical world - robots, drones, autonomous vehicles, and industrial machines - the architectures that govern these systems must evolve. Current approaches fail: cloud AI is too slow for safety-critical decisions, and single-agent autonomy lacks accountability and fleet intelligence. Distributed Physical Intelligence (DPI) introduces a new architectural paradigm: seven governance layers, independent safety assurance, cryptographic accountability, and federated fleet learning - purpose-built for machines that operate in the real world where errors are irreversible. From the founder of Neura Industries and inventor of 21+ patents including 14 USPTO filings for counter-UAS defense systems.
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