Can I read AI for Physics: Machine Learning the World from Nuclear to Cosmic Scales (AI for Everything) on EtoBox?

AI for Physics: Machine Learning the World from Nuclear to Cosmic Scales (AI for Everything) by Volker Knecht; Kilian Hikaru Scheutwinkel; M Campanelli; Mayank Agrawal; Álvaro Fernández Díaz; Chao Fang; Daniel Grúň; Bernard Jones; Jimena González Lozano; Yang-Hui He is a book available to read on EtoBox.

What is AI for Physics: Machine Learning the World from Nuclear to Cosmic Scales (AI for Everything) about?

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.

Author

Volker Knecht; Kilian Hikaru Scheutwinkel; M Campanelli; Mayank Agrawal; Álvaro Fernández Díaz; Chao Fang; Daniel Grúň; Bernard Jones; Jimena González Lozano; Yang-Hui He

Publisher

Taylor & Francis Group

Published

2022

Language

EN

ISBN

9781000643831