Crowdsourcing project to help predict smell of molecules
A crowdsourcing effort by an American university has devised a mathematical model that can predict the scent of a molecule. The model, which was prepared with a dataset of 476 molecules being classified into smells similar to rose, garlic and fish among others, could predict odour of 69 other molecules with 83% accuracy.