phys-MCP is a substrate-aware orchestration layer that exposes heterogeneous physical neural networks as invocable resources with standardized capability, lifecycle, telemetry, and digital-twin interfaces.
In vitro neurons learn and exhibit sentience when embodied in a simulated game-world
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phys-MCP: A Control Plane for Heterogeneous Physical Neural Networks
phys-MCP is a substrate-aware orchestration layer that exposes heterogeneous physical neural networks as invocable resources with standardized capability, lifecycle, telemetry, and digital-twin interfaces.