NYU researchers pioneer machine learning to speed chemical discoveries, reduce waste
Researchers at the NYU Tandon School of Engineering are tapping a new set of capabilities in [the machine learning] field of artificial intelligence, combining artificial neural networks with infrared thermal imaging to control and interpret chemical reactions with precision and speed that far outpace conventional method. … "This system can reduce the decision-making process about certain chemical manufacturing processes from one year to a matter of weeks, saving tons of chemical waste and energy in the process," said Ryan Hartman, an assistant professor of chemical and biomolecular engineering at NYU Tandon and lead author of a paper detailing the method in the journal Computers & Chemical Engineering.
