Exploring Fundamental Aspects of Nature with a Machine Learning Method
A new machine-learning method has been developed to help scientists better understand fundamental aspects of complex systems. Published in Nature Communications, the new technique combines ideas from both machine learning and statistical physics, allowing for the analysis of large datasets that reveal the underlying structure of a system. This method can be used to study the behavior of phenomena ranging from chemical reactions to the spread of infectious diseases. By illuminating the fundamental aspects of complex systems, this research can provide insights into a wide-range of situations, helping scientists make better decisions and create better policies.
source: Phys.org