Anthropic enables AI to control physical labs via a model hardware #AI #Automation #LabTech

Anthropic introduced the model hardware standard to unify communication across lab instruments. Carnegie Mellon researchers used this standard to connect a robotic arm, liquid handler, and plate reader in just eight hours. This breakthrough eliminates weeks of custom coding and compatibility issues by creating a shared interface for AI like Claude to control physical lab hardware. Claude was able to autonomously run and adjust experiments in real time, demonstrating a new level of automation in laboratory workflows. The approach promises faster integration of complex lab equipment and paves the way for scalable, AI-driven research environments with greater efficiency and adaptability. #AI #LabAutomation #Anthropic