Written in accessible language without mathematical formulas, the book covers important machine learning algorithms and their respective applications in physics and across a number of important sub-fields in more detail, ranging from particle, molecular and condensed matter physics, to astrophysics, cosmology and the theory of everything.
Inhaltsverzeichnis
Part I: Opening 1. Gathering the Team 2. Teamplay 3. The Rules of the Game Part II: Machine-Learning the World from Subatomic to Cosmic Scales 4. AI for Particle Physics 5. AI for Molecular Physics 6. AI for Condensed Matter Physics 7. AI for Cosmology Part III: Showdown 8. AI for Theory of Everything 9. Conclusion and Outlook
