Instead of manually rebuilding labs for new experiments, AI can now autonomously design lab infrastructure and workflows from high-level scientific goals, making experimental automation dramatically more flexible and scalable.
Self-building laboratories (SBLs) are AI systems that automatically design and configure their own lab setups to achieve scientific goals, starting from scratch or existing equipment.