AM's modular automation architecture is a next generation framework for linking advanced AI and ML algorithms with automated laboratory equipment, enabling "self-driving" experiments. Built in Python, AM enables rapid integration of the latest generation of open-source libraries for AI and data science with simultaneous device orchestration. AM's Modular Automation Architecture is integrated into our operating system AMLearn. Benefits: - Flexible: As a modular framework-driven approach, AM's architecture allows individual components like device drivers, AI models, or experimental workflows to be easily swapped, updated, or customized without overhauling the entire system. - Fast: As a Python-based architecture, AM's architecture allows for rapid development by integrating with a vast ecosystem of existing AI/ML libraries. During execution, it enables parallel operation of multiple instruments, significantly cutting down experimental run times and accelerating data acquisition. - Open-source: With open-source templates and protocols, AM's architecture enables users to create their own automation protocols and drivers, fostering a collaborative environment that continuously expands the platform's capabilities for everyone.
