Bayesian Statistics

We look at the Machine Learning challenges through the eyes of the probabilistic framework of Bayesian statistics thus transforming it into a statistical inference problem thereby increasing its predictive power.

Deep Learning

We leverage on the power of Deep Learning methodologies to deliver accurate time series forecast with their uncertainties.

Dynamical Systems

We bring Machine Learning technologies to the world of Dynamical Systems where the information content of the data changes with time by reconfiguring network topologies according to the information geometry.