Recent breakthroughs in AI-driven lab automation, from real-time reaction analysis to autonomous synthesis planning, are reshaping chemical research.

In a National Academy of Engineering webinar, ORNL’s Rigoberto Advincula detailed how AI-enabled autonomous labs are accelerating polymer research.

At the Pritzker School of Molecular Engineering, scientists have developed an autonomous lab that integrates AI with robotics to automate quantum experiments.

Biomedical engineers at Duke University have created a platform that integrates automated wet lab methods with artificial intelligence (AI) to formulate nanoparticles for drug delivery.

Researchers at Argonne National Laboratory are using Polybot, an AI-driven automated materials laboratory, to develop high-conductivity, low-defect electronic polymer thin films.

Chemspeed offers automation solutions for chemists by chemists. We support accelerated science, R&D, and QC by providing high-quality data 24/7 via robotics and analytical tools.

Scientists are revolutionizing catalyst research by combining AI-driven automation with human expertise, proving that the smartest labs aren’t just robotic—they’re collaborative.

AI agent–driven capabilities not only allow scientists to perform their existing experimental workflows better but they also enable entirely new methods of experimentation.

UBTech and Nvidia are accelerating the shift of AI-driven robotics from controlled lab environments into real-world industrial use.

One combines artificial intelligence and lab automation to rapidly test and refine the genetic designs of biofuel-producing microbes.

We’re removing the traditional barriers that have made automation inaccessible for many labs. Read the full story here.