BINARY Partner started in March 2020

The project Big Data in Atmospheric Physics (BINARY) will tackle relevant scientific questions in atmospheric physics applying modern machine learning techniques.

BINARY officially started on March 2020 and has held regular activities ever since, such as a monthly seminar and an autumn school. The plans for 2021 include an annual meeting in March, in which PhD candidates will present their research progress, and a mini-workshop on Differential Equations for Machine Learning, most likely in late spring/early summer.

You can visit BINARY's website to learn more at