A computable representation of the physical laboratory enables verifiable workflows

Explain Like I'm Normal

Researchers have developed a 'computable representation' of a physical lab, effectively turning laboratory hardware and workflows into code that agents can execute. By mapping scientific intents to robotic 'Function Skills,' they've created a system where AI can autonomously design, simulate, and verify real-world experiments. This moves us closer to fully automated scientific discovery where the bottleneck isn't the pipette, but the compute.