Thermodynamics a la Souriau on Kähler Non Compact Symmetric Spaces for Cartan Neural Networks

This article likely explores the application of thermodynamic principles, specifically those formulated by Souriau, within the context of Kähler non-compact symmetric spaces, potentially to enhance the performance or understanding of Cartan Neural Networks. The use of advanced mathematical concepts suggests a highly specialized and theoretical research focus.