#laboratory-automation

#laboratory-automation

A laboratory with that many robots would be exciting, says Yan Zeng, a materials scientist at Vanderbilt University in Nashville, Tennessee. "I will be curious to see how soon they are really going to achieve that goal," notes Zeng, who hopes that the lab could be used by scientists globally, like other leading scientific facilities such as Europe's particle-physics lab CERN.

Laboratory safety goggles have finally joined the ranks of smart devices. That's the promise behind LabOS, an AI operating system for scientific laboratories built by the Stanford-Princeton AI Coscientist Team, a group led by Stanford University bioengineer Le Cong and Princeton University computer scientist Mengdi Wang, with founding partners that include NVIDIA. Powered by NVIDIA's vision-language models to process visual data, the system is designed to provide AI with real-time knowledge of lab work so it can determine what causes experiments to fail or succeed and rapidly train new scientists to expert levels by guiding them through experimental protocols.