MALAT: Machine Learning for Air Traffic This project aims at developing machine-learning based techniques to improve Air Traffic Control through better forecasting of wind speed along plane trajectories, and better estimation of planes maximum and minimum climbing rates. Themes Confederation-Funded Technology Transfer Leader Name Idiap Research Institute Partners SkySoft-ATM Funding Innosuisse Start Mar 01, 2020 Stop Feb 28, 2023 Groups Machine Learning Contacts