000 02280 a2200277 4500
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020 _a9781032151694
041 _aeng
082 _a006.3
_bKneA
100 _aKnecht, Volker
245 _aAI for Physics /
_cVolker Knecht
260 _aBoca Raton:
_bCRC Press;
_c©2023
300 _axviii, 129p.
440 _aAI for Everything
505 _aPart I: Opening 1. Gathering the Team Volker Knecht 2. Teamplay Volker Knecht 3. The Rules of the Game Volker Knecht and Kilian Hikaru Scheutwinkel 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
520 _aWritten 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.
650 _aArtificial Intelligence
650 _aCognitive Artificial Intelligence
650 _aNeural Networks
650 _aRobotics
650 _aComputational Physics
650 _aEthical & Social Aspects of IT
650 _aPattern Recognition
942 _cBK
999 _c7176
_d7176