Part II: Machine-Learning the World from Subatomic to Cosmic Scales
4. AI for Particle Physics
Mario Campanelli and Volker Knecht
5. AI for Molecular Physics
Mayank Agrawal and Volker Knecht
6. AI for Condensed Matter Physics
Álvaro Díaz Fernández, Chao Fang, and Volker Knecht
7. AI for Cosmology
Kilian Hikaru Scheutwinkel, Daniel Grün, Bernard Jones, Jimena González Lozano, and Volker Knecht
Part III: Showdown
8. AI for Theory of Everything
Yang-Hui He and Volker Knecht
9. Conclusion and Outlook
Volker Knecht
Written in accessible language without mathematical formulas, this short book provides an overview of the wide and varied applications of artificial intelligence (AI) across the spectrum of physical sciences. Focusing in particular on AI's ability to extract patterns from data, known as machine learning (ML), the book includes a chapter on important machine learning algorithms and their respective applications in physics. It then explores the use of ML 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. The book covers such applications as the search for new particles and the detection of gravitational waves from the merging of black holes, and concludes by discussing what the future may hold.
9781032151694
Artificial Intelligence Cognitive Artificial Intelligence Neural Networks Robotics Computational Physics Ethical & Social Aspects of IT Pattern Recognition