Modern Machine Learning software libraries such as Google's TensorFlow can
be employed to greatly simplify the analysis of high-dimensional scalar
sectors of some M-Theory compactifications. This talk gives an overview
over recent insights into the structure of N=8 SO(8) de Wit – Nicolai
Supergravity that have been obtained in this way. We will also look into
using readily available Google Research tools to easily obtain new results
by modifying pedagogical code examples that have been published alongside
our recent comprehensive study of SO(8) supergravity equilibria.