AI for Physics / (Record no. 7176)

MARC details
000 -LEADER
fixed length control field 02280 a2200277 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250922171622.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241211b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781032151694
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Item number KneA
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Knecht, Volker
245 ## - TITLE STATEMENT
Title AI for Physics /
Statement of responsibility, etc Volker Knecht
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Boca Raton:
Name of publisher CRC Press;
Year of publication ©2023
300 ## - PHYSICAL DESCRIPTION
Number of Pages xviii, 129p.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title AI for Everything
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Part I: Opening<br/><br/>1. Gathering the Team<br/><br/>Volker Knecht<br/><br/>2. Teamplay<br/><br/>Volker Knecht<br/><br/>3. The Rules of the Game<br/><br/>Volker Knecht and Kilian Hikaru Scheutwinkel<br/><br/>Part II: Machine-Learning the World from Subatomic to Cosmic Scales<br/><br/>4. AI for Particle Physics<br/><br/>Mario Campanelli and Volker Knecht<br/><br/>5. AI for Molecular Physics<br/><br/>Mayank Agrawal and Volker Knecht<br/><br/>6. AI for Condensed Matter Physics<br/><br/>Álvaro Díaz Fernández, Chao Fang, and Volker Knecht<br/><br/>7. AI for Cosmology<br/><br/>Kilian Hikaru Scheutwinkel, Daniel Grün, Bernard Jones, Jimena González Lozano, and Volker Knecht<br/><br/>Part III: Showdown<br/><br/>8. AI for Theory of Everything<br/><br/>Yang-Hui He and Volker Knecht<br/><br/>9. Conclusion and Outlook<br/><br/>Volker Knecht
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Artificial Intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Cognitive Artificial Intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Neural Networks
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Robotics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computational Physics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Ethical & Social Aspects of IT
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Pattern Recognition
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Collection code Home library Current library Shelving location Date acquired Source of acquisition Purchase Price Bill number Full call number Accession Number Copy number Print Price Bill Date/Price effective from Koha item type
      Computer Science Indian Institute of Technology Tirupati Indian Institute of Technology Tirupati General Stacks 30/07/2025 Today and Tomorrows Printers and Publishers 1875.32 TTPP/132/2025-26 006.3 KneA (11512) 11512 Copy 1 2679.02 30/07/2025 Books