Building a safer path to autonomous industrial AI

Industrial automation is shifting from simple predictive analytics toward complex tasks managed by foundation models and physical AI agents. While these technologies promise increased efficiency in industrial environments, researchers are currently prioritizing new safety frameworks to ensure these systems function reliably within unpredictable, high-stakes physical spaces.