AI for physics [electronic resource] / Volker Knecht ; with Kilian Hikaru Scheutwinkel ... [et al.]
- 作者： Knecht, Volker.
- 其他題名：
- AI for everything series.
- 出版： Boca Raton, FL : CRC Press 2023.
- 叢書名： AI for everything series
- 主題： Physics--Data processing. , Machine learning.
- 版本：1st ed.
- ISBN： 9781003245186 (electronic bk.)
- URL：
電子書(校內)
電子書(校外)
- 一般註：Includes bibliographical references and index. 113年度臺灣學術電子書暨資料庫聯盟採購
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讀者標籤：
- 系統號： 000314424 | 機讀編目格式
館藏資訊
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.
摘要註
"Written in accessible language without mathematical formulas, the book covers important machine learning algorithms and their respective applications in physics and 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"--
