We first introduce various algorithms and techniques for machine learning and data science.
While there is a strong focus on neural network applications in unsupervised, supervised …

This review article provides a pedagogical introduction into various classes of chiral string
compactifications to four dimensions with D-branes and fluxes. The main concern is to …

The past two decades have seen transformative advances in cosmology and string theory.
Observations of the cosmic microwave background have revealed strong evidence for …

We give an overview of moduli stabilization in compactifications of string theory. We
summarize current methods for construction and analysis of vacua with stabilized moduli …

A bstract In this paper we discuss quantum computational restrictions on the types of thought
experiments recently used by Almheiri, Marolf, Polchinski, and Sully to argue against the …

A bstract We utilize machine learning to study the string landscape. Deep data dives and
conjecture generation are proposed as useful frameworks for utilizing machine learning in …

The real world as we know it happens at energies well below the Planck scale, so it is very
well described by effective field theory. There is a continuous infinity of consistent effective …

We investigate the conditions for a QCD axion to coexist with stabilised moduli in string
compactifications. We show how the simplest approaches to moduli stabilisation give …

We construct a supersymmetric vacuum of string theory in which the magnitude of the
vacuum energy is< 10-123 in Planck units. The mechanism that we introduce generates a …

A bstract We propose deep reinforcement learning as a model-free method for exploring the
landscape of string vacua. As a concrete application, we utilize an artificial intelligence …