AI, machine learning, and AI agents continue to transform scientific experimental measurements in the lab, serving as tools to conduct measurements and analysis more efficiently while at the same time enabling more complicated and autonomous experiments to take place. This inaugural symposium explores how AI and agents can be integrated with experimental systems across the whole experimental process from experimental design and data collection to workflow automation, autonomous operation, and data analysis.

Posters Due: January 15

Please first review the information for authors — abstract submission guidelines.

Select Topic / Application AreaAutonomous and agentic operationSensor fusion, multimodal measurements, data fusion and integrationMicroscopy, spectroscopy, and diffraction measurementsAdvanced signal processingReal-time data analysis and feedbackAutonomous workflow designOtherGo