Spanish researchers use AI to predict biodiesel composition from engine noise

In Spain, a new model designed by several University of Cordoba research groups allows for predicting this noise depending on the chemical physical composition of the biofuel that powers the engine. One of the main novelties of the model is that it uses neural networks, mathematical models inspired by the biological behavior of neurons. In other words, pure artificial intelligence focused on making highly efficient and precise predictions.

This study was carried out using a normal diesel engine powered by biofuel. To be more precise, it was done with olive pomace oil and palm oil esters, two substances with a very different physical chemical composition from which the model that predicts noise can be obtained.