IBM seeks to simplify robotic chemistry

An image showing Teodoro Laino

Source: © Michael Buholzer/IBM

RoboRXN system extends AI approach to extracting and checking chemistry information from patent literature to programming automation

 Researchers at the international computing giant IBM say that they have combined AI tools and cloud technology to allow people with minimal robotics knowledge to perform automated chemistry. Teodoro Laino at IBM’s Zurich, Switzerland, and colleagues used a dataset of chemical procedures built with their RXN neural network and integrated it with cloud-based control of an automated synthesis machine. The RoboRXN system can in principle allow researchers anywhere to make remote requests for the robot to do their reactions.