AI for Physics - Machine Learning the World from Nuclear to Cosmic Scales
AI for Physics - Machine Learning the World from Nuclear to Cosmic Scales, pdf, 9 MB
Title: AI for Physics
Author: Volker Knecht
Language: English
Year: 2022
Categories: Biophysics, Molecular Physics, Computer Image Processing
ISBN: B0B3QJR3YF
Description: 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.
Publisher: CRC Press; 1st edition
Pages: 149
Files: AI for Physics - Machine Learning the World from Nuclear to Cosmic Scales.pdf (9 MB)
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https://nitroflare.com/view/4836D7FF21BBB20/AI_for_Physics_-_Machine_Learning_the_World_from_Nuclear_to_Cosmic_Scales.pdf
Code:
https://rapidgator.net/file/0f6651b06fead2ea2a49af67ec8b9ab2/AI_for_Physics_-_Machine_Learning_the_World_from_Nuclear_to_Cosmic_Scales.pdf