Overview / Usage

Artificial intelligence has been applied to improve the forecast of extreme whether events, temperature and environmental data with high accuracy. As machine learning algorithms can deal with a vast amount of data and quickly discern patterns that humans cannot, it allows to make predictions more efficiently and so recommend better policies.

Deep Learning consists in a subset of a machine learning technique which uses a complex architecture with numerous layers of neural network (multilayer) that allow it for better learning. Deep learning methods can extract features automatically based on data without prior knowledge. As deep learning has the ability to work with large databases, it can make a very important hole in tracking the climate changes and make accurate projections. The main objective is to “mold” the main factors that contribute to global warming and help to create an effective international policy.