In our latest paper, “Unassisted Noise Reduction of Chemical Reaction Data Sets” in Nature Machine Intelligence, we explore the application of NLP techniques to automate the identification of “language outliers” or the noise in chemical datasets.
Today, Nature Machine Intelligence is featuring, "Mapping the Space of Chemical Reactions Using Attention-Based Neural Networks", research from IBM Research Europe and the University of Bern that investigates deep learning models to classify chemical reactions and visualizes the chemical reaction space.
For most of us, chemistry is a distant childhood memory that takes us back to our school days where we got to experiment with chemical reactions. I mean who didn’t love the school science fair? It was the one occasion we were allowed to make a mess in the kitchen by mixing baking soda, vinegar, […]
IBM researchers are extending IBM RXN for Chemistry, a cloud-based app that takes the idea of relating organic chemistry to a language, by training the model to determine the chemicals needed to create a target molecule.
For more than 200 years, the synthesis of organic molecules has remained one of the most important tasks in organic chemistry. The work of chemists has scientific and commercial implications that range from the production of Aspirin to that of Nylon. Yet, little has been done to change age-old practices dramatically and allow a new […]