Alpinac: a program for detecting new types of air pollution
Aurore Guillevic, a research fellow with the Caramba project team (a joint undertaking involving Inria and Loria), is participating in an Empa-ETH Zurich project (Swiss Federal Laboratory for Materials Science and Technology). The aim of the project is to use new machine learning algorithms to conduct more effective analysis of data on pollution collected using spectrometers. Let’s take a closer look.